Abstract
27
28
The superior colliculus (SC) both senses the environment and orients gaze within it. While 29
the SC’s sensory and motor bursts appear qualitaDvely similar to each other, populaDon 30
acDvity structure in the two processing regimes is very different, necessitaDng a hitherto 31
unexplored rapid representaDonal transformaDon, occurring on the scale of only tens of 32
milliseconds. Here, using male rhesus macaque monkeys, we first show that when a planned 33
saccade is released with a go signal, peripheral SC neurons represenDng the saccade target 34
locaDon exhibit a transient, short-latency pause right before their motor bursts eventually 35
erupt. This pause starts within ~50 ms from the go signal, and it is sDmulus-dependent. It is 36
also absent in the primary visual cortex, and is significantly weaker in purely visual SC 37
neurons than in saccade-related ones. Foveal SC neurons, on the other hand, burst, and 38
their bursts lead the peripheral neurons’ pauses by ~10 milliseconds. Remarkably, during 39
immediate visually-guided saccade tasks, requiring a transformaDon from visual to motor 40
peripheral bursts in <50-100 ms, the transient foveal SC bursts sDll occur, resulDng in 41
simultaneous short-latency bursDng at two disparate SC loci: one foveal; and one eccentric 42
and responding to the visual appearance of the saccade target. Our results suggest that in 43
classic saccade tasks used to invesDgate visual, motor, and cogniDve processes in primate 44
brains, a transient foveal SC signal may jumpstart peripheral saccadic orienDng by facilitaDng 45
a necessary rapid representaDonal transformaDon needed for SC saccade motor bursts to 46
ensue. 47
48
49
50
Significance 51
52
Studies of eye movement control ohen involve behavioral paradigms involving sensing, 53
deliberaDng, and ulDmately releasing an instructed rapid eye movement (saccade). While 54
the sensing, deliberaDon, and movement aspects of saccades have been well studied in the 55
past, the releasing phase is less understood. Using classic saccade behavioral paradigms, we 56
discovered that foveal superior colliculus neurons exhibit transient acDvity bursts during 57
instructed saccade releasing, which likely enables rapid representaDonal transformaDons 58
from a visual to a motor regime in the collicular neurons driving the eye movements. 59
60
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3
Introduc3on 61
62
AcDve vision entails a conDnual cycling between sensing, deliberaDon, and acDon (Findlay, 63
1982; Wolpert et al., 1995; Findlay and Walker, 1999; Buonocore and Hafed, 2023). In the 64
oculomotor system, the neuronal mechanisms underlying the different subcomponents of 65
acDve vision have classically been studied using behavioral paradigms that aiempt to 66
dissociate these subcomponents from one another as much as possible. For example, in the 67
delayed visually-guided saccade paradigm (Hikosaka and Wurtz, 1983; Munoz and Wurtz, 68
1995b), a visual sDmulus first appears, but the iniDally fixated spot remains visible. This 69
prevents a reflexive saccade to the appearing sDmulus and allows invesDgaDng visual 70
sensory processing mechanisms independent of an overt motor output. Then, aher some 71
delay, during which cogniDve processes related to deliberaDon and motor planning may be 72
invesDgated, the iniDally fixated spot disappears, allowing a saccade towards the eccentric 73
sDmulus to be subsequently triggered. In this case, motor-related processes associated with 74
saccade generaDon can be studied under a constant, steady-state visual appearance of the 75
environment. 76
77
Among the many insights gleaned from the classic delayed saccade paradigm, it was recently 78
recognized that this paradigm addiDonally highlights a fundamental problem in sensory-79
driven motor behavior, namely the need to transform neuronal representaDons from a 80
sensory regime to a motor regime, ohen in the very same neurons and within very short 81
Dme intervals (Jagadisan and Gandhi, 2022; Baumann et al., 2023; Bourrelly et al., 2023; 82
Heusser et al., 2023). For example, populaDon acDvity subspaces in the superior colliculus 83
(SC) are different from each other at sDmulus onset and saccade generaDon (Jagadisan and 84
Gandhi, 2022; Baumann et al., 2023). And, at the individual neuron level, some SC neurons 85
can prefer a parDcular visual image feature in the sDmulus onset phase of trials, but a 86
different image feature in the saccade generaDon phase (Baumann et al., 2023). This rapid 87
alteraDon in operaDng regimes of idenDcal neurons likely necessitates a switch-like 88
mechanism at some point during delayed saccade task trials, and this is what we 89
invesDgated here. 90
91
We specifically hypothesized that the go, or release, signal for saccades may be associated 92
with neuronal dynamics that were not previously characterized in sufficient detail. Indeed, 93
past studies generally focused on neuronal acDvity for (peripheral) neurons represenDng the 94
eccentric locaDons of the saccade targets. These studies uncovered well known sensory, 95
cogniDve, and motor processes associated with the neurons driving the eye movements. 96
However, it was not known what specifically happens to foveal representaDons in the SC at 97
the Dme of the go signal; since acDve vision ulDmately starts and ends with the fovea, 98
understanding foveal SC representaDons when releasing saccades is important. 99
100
To address this gap, we studied the acDvity of peripheral SC and primary visual cortex (V1) 101
neurons during the delayed saccade paradigm, with a parDcular focus on neuronal acDvity 102
around the Dme of the go signal. We found that releasing an instructed eye movement in 103
this paradigm is associated with a short-latency transient pause in SC, but not V1, acDvity 104
right before SC saccade-related motor bursts ensue. Importantly, this pause is preceded by 105
foveal SC bursts ~10 ms earlier, and the foveal burst properDes suggest that they could be a 106
generalized trigger signal rather than a sDmulus-dependent phenomenon. Remarkably, 107
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4
when we switched our paradigm to instead employ immediate visually-guided saccades, SC 108
foveal bursts sDll happened, and thus temporally coincided with peripheral visual responses 109
to target onsets in other SC neurons. 110
111
Our results reveal novel neuronal dynamics in the foveal SC at the Dme of the go signal in 112
classic eye movement paradigms that have been used for several decades to study 113
percepDon, cogniDon, and acDon. These results also moDvate invesDgaDng mechanisms of 114
foveal-to-peripheral, and vice-versa, neuronal modulaDons in the SC and other brain 115
structures, especially when these modulaDons may not always be trivially explained by 116
classic lateral inhibitory mechanisms (Munoz and Istvan, 1998; Trappenberg et al., 2001; Isa 117
and Hall, 2009; Marino et al., 2011; Satel et al., 2011; Phongphanphanee et al., 2014). 118
119
120
121
Methods
122
123
Research animals and ethical approvals 124
This study involved a re-analysis of data collected previously for other publicaDons 125
invesDgaDng other research quesDons. In all cases, we analyzed data collected from male 126
rhesus macaque monkeys. For analyzing peripheral SC and V1 acDvity in the delayed visually-127
guided saccade task (see below for the details of the different behavioral tasks), we used the 128
same database as the one in (Baumann et al., 2023). For analyzing foveal SC acDvity in the 129
delayed visually-guided saccade task, we used the control condiDons of (Zhang et al., 2025). 130
And, for analyzing peripheral and foveal SC acDvity in the immediate visually-guided saccade 131
task, we employed the control condiDons of (Zhang et al., 2026). 132
133
In all cases, all experiments were approved by ethics commiiees at the regional 134
governmental offices of Tübingen. 135
136
137
Behavioral tasks 138
139
Saccades-to-gra-ngs task for peripheral SC and V1 neurons. For peripheral SC and V1 acDvity 140
in the delayed saccade condiDon, the behavioral task was the “saccades-to-graDngs” 141
paradigm (Baumann et al., 2023). This task was a slight modificaDon of the classic delayed 142
visually-guided saccade paradigm. Briefly, the monkeys first saw a white fixaDon spot. Aher 143
they fixated it by a few hundred milliseconds, a visual target appeared eccentrically, 144
centered on the recorded neurons’ response field (RF) locaDons. The target consisted of a 145
disc of 3 deg radius, the inside of which had a sine wave graDng. We always placed a white 146
spot (like the fixaDon spot) at the center of the disc, surrounded by a small gray disc (to 147
avoid visibility loss of the spot due to the background sine wave graDng). This placement 148
allowed the saccades to be accurately made towards the disc’s center, which was criDcal for 149
the previous study (but it did not influence the scienDfic quesDons of the present one). In 150
the spaDal frequency version of the task, the sine wave graDng was verDcal and had 100% 151
contrast, but it could have different spaDal frequencies across different trials. In the contrast 152
version of the task, we fixed the spaDal frequency to 1 cycle/deg (1 cpd) and instead varied 153
the contrast of the verDcal graDng from trial to trial. And, finally, in the orientaDon version of 154
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the task, both the spaDal frequency (1 cpd) and contrast (100%) were fixed, and the 155
orientaDon of the graDng was varied from trial to trial. Aher maintaining fixaDon for another 156
few hundred milliseconds aher target onset, the fixaDon spot was removed, and this was the 157
cue for the monkeys to generate a visually-guided saccade towards the eccentric target. 158
Thus, the fixaDon spot removal was the go signal in this task, as is the case in classic 159
instanDaDons of it. Trials from each version of the task were collected in separate blocks. 160
161
Saccades-to-gra-ngs task for foveal SC neurons. For foveal SC acDvity in the delayed saccade 162
condiDon, the behavioral task was similar to the one above (Zhang et al., 2025). Specifically, 163
aher fixaDng the fixaDon spot, an eccentric target appeared. Again, it consisted of a disc of 3 164
deg radius, the inside of which had a verDcal sine wave graDng of 100% contrast and either 1 165
cpd (low) or 4 cpd (high) spaDal frequency. There was no spot placed at the center of the 166
graDng in this case. The target appeared at 8 deg eccentricity either to the right or leh of 167
fixaDon (except in two sessions in which it was placed at an oblique posiDon of similar 168
eccentricity; ~10 deg). Aher maintaining fixaDon for a few hundred milliseconds aher target 169
onset, the fixaDon spot was removed, instrucDng the generaDon of the saccade towards the 170
eccentric graDng. Aher fixaDng the graDng for another 500 ms, this graDng was removed, 171
and the monkeys were rewarded. A short inter-trial interval (with a blank gray screen) then 172
ensued. 173
174
Immediate visually-guided saccade task for perihpheral and foveal SC neurons. For 175
peripheral and foveal SC acDvity in the immediate saccade condiDon, we employed a classic 176
reflexive visually-guided saccade paradigm; the control condiDon of (Zhang et al., 2026). 177
Specifically, the monkeys fixated a white fixaDon spot. Aher a few hundred milliseconds, the 178
fixaDon spot was removed and a simultaneous saccade target (white disc of 0.51 deg radius) 179
appeared either at the peripheral neurons’ RF posiDons or at an eccentricity >3.5 deg from 180
the fovea for the foveal neurons. 181
182
RF mapping tasks. The delayed saccade tasks above allowed us to invesDgate neuronal 183
dynamics at the Dme of transiDoning from a visual regime (aher sDmulus onset and waiDng 184
for saccade instrucDon) to a motor regime (aher the go signal). The reflexive saccade task, 185
on the other hand, allowed us to explore what happens when the transiDon from visual to 186
motor regimes needed to happen much more urgently, as quickly as possible aher 187
peripheral target onset. In all cases, we also mapped neuronal RF’s in the same sessions, and 188
this was done in order to idenDfy the RF’s posiDons relaDve to the eccentric saccade target. 189
Our RF mapping tasks (Chen et al., 2015; Chen and Hafed, 2017; Chen et al., 2018; Chen et 190
al., 2019) involved fixaDng a fixaDon spot, like in all tasks above. Aher a few hundred 191
milliseconds of fixaDon, a white spot appeared at some locaDon on the display, and it 192
typically remained on for 300-500 ms, before being turned off again. Across trials, we 193
changed the posiDon of the appearing spot, in order to construct the RF maps of the 194
neurons. 195
196
197
Data analysis and sta6s6cal tests 198
199
All saccadic eye movements were previously detected for the purposes of the earlier studies 200
(Baumann et al., 2023; Zhang et al., 2025; Zhang et al., 2026). Similarly, all neuronal 201
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preprocessing (such as spike sorDng) was performed earlier. Our subsequent analyses were 202
geared for the specific scienDfic purposes of the present study. 203
204
To characterize visual RF’s of neurons (e.g. Figs. 1A, C, 5A, C in Results), we averaged firing 205
rate in an interval 50-150 ms aher sDmulus onset, and we ploied it as a funcDon of the 206
horizontal and verDcal posiDon of the appearing sDmulus (including interpolaDon in 207
between sampled posiDons). For some analyses, we also characterized the sDmulus-offset 208
responses of the recorded neurons from the RF mapping data (parDcularly for the foveal 209
neurons in the delayed saccade paradigm). In this case, we simply measured average firing 210
rate 50-150 ms aher the offset of the target in the same RF mapping task. As we explain in 211
Results, this analysis was aimed at checking whether the removal of the fixaDon spot in our 212
main saccade paradigms caused offset responses in the foveal neurons. Thus, for measuring 213
offset responses from the RF mapping task, we picked sDmulus locaDons in the RF mapping 214
data that were consistent with the eccentricity of the fixaDon spot (in the main tasks) from 215
the foveal neuron’s RF hotspot locaDon. In other words, because foveal SC neurons are 216
strongly lateralized (Chen et al., 2019), fixaDon spot removal in the main tasks involved an 217
offset of a sDmulus that was at some non-zero distance, r, from the hotspot of the recorded 218
foveal neurons. Therefore, from the RF mapping data, we defined a ring around the hotspot 219
locaDon of each foveal SC neuron with radius of r deg (+/- 0.25 deg), where r was the 220
eccentricity of the RF hotspot from the fixaDon spot. Then, we picked all sampled RF 221
mapping trials in this ring of locaDons that were also in the contralateral hemifield relaDve to 222
the recorded SC side (we picked contralateral locaDons to maximize the likelihood of 223
observing an offset response if it did exist), and we measured offset responses from these 224
trials in parDcular. We then compared these offset responses to those associated with the go 225
signal in the main saccade tasks (which are described in Results). 226
227
For the main saccade tasks, we ploied firing rates as a funcDon of Dme from target onset, 228
saccade onset, and go signal onset (fixaDon spot removal). The first two kinds of plots are 229
similar to what was done previously, by us (Baumann et al., 2023; Zhang et al., 2025; Zhang 230
et al., 2026) and others; we included them here for providing the context associated with 231
the third kind of plot, which was of interest for us in the current study. As we show in 232
Results, this third plot gave either transient pauses or transient bursts in acDvity (shortly 233
aher the go signal), depending on the neuron locaDon and behavioral task. To characterize 234
these transient responses, we measured average firing rate in the interval 50-150 ms aher 235
go signal onset. For a reference, we also measured firing rate in the final 100 ms before go 236
signal onset. This gave a baseline to which we compared go-signal responses when assessing 237
whether there was a burst or pause occurring aher the go signal. Such a comparison was 238
made either by plotng the two measures directly against each other for each neuron, or by 239
obtaining a neuronal modulaDon index. When assessing transient pauses (see Results), we 240
defined the modulaDon index as the firing rate aher the go signal (50-100 ms) minus the 241
firing rate before the go signal (final 100 ms), divided by the sum of the two firing rates. 242
NegaDve modulaDon indices meant reducDons in firing rate aher the go signal. 243
244
We also someDmes classified trial condiDons (e.g. different spaDal frequencies in the spaDal 245
frequency task) as a funcDon of sustained acDvity level they gave in a given neuron at the 246
end of the delay period (right before go signal onset). Specifically, we looked for the 247
condiDon that gave the highest sustained acDvity and called it the most preferred sustained 248
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7
feature. Similarly, we looked for the image condiDon that gave the lowest sustained acDvity, 249
and we called it the least preferred sustained feature. This allowed us to check whether 250
transient pauses aher the go signal that we characterize in Results depended on the starDng 251
firing rate that was present at the Dme of the go signal. 252
253
Similarly, we divided SC neurons according to their funcDonal type (such as visual or visual-254
motor neurons). We used classificaDons that we used previously (Baumann et al., 2023). 255
Thus, we did not reclassify the neurons here. 256
257
To compare transient pauses and bursts directly (e.g. Fig. 7 in Results), we normalized 258
individual neuron firing rates and then combined neurons by averaging their normalized 259
firing rate curves. The normalizaDon was achieved by measuring, for each neuron, the 260
average firing rate in the final 100 ms before go signal onset, and then dividing the enDre 261
firing rate curve by this value. Thus, the normalized firing rate was 1 at the go signal, and 262
bursts/pauses were higher/lower than 1. SomeDmes, we also kept firing rates unnormalized, 263
but we baseline-subtracted them based on the final 100 ms before the go signal. Thus, in 264
this case, pauses were associated with negaDve baseline-subtracted firing rates. 265
266
Similarly, to assess the relaDve Dming between transient pauses and transient bursts in the 267
delayed saccade paradigm (e.g. Fig. 7 in Results), we relied on individual spike Dmes. Across 268
all trials and all neurons (either foveal or peripheral), we binned spike Dmes around the go 269
signal into 2-ms non-overlapping Dme bins. Then, we ploied a histogram of all spike Dmes. 270
For the peripheral neurons, they paused aher the go signal (see Results). Thus, starDng from 271
10 ms aher the go signal, we searched for the first Dme point at which the histogram of 272
spike Dmes had 3 consecuDve drops in spike likelihood aher the go signal. This was 273
considered the populaDon latency of the pause. For the foveal neurons, which burst instead 274
(see Results), we searched for the first Dme point at which the histogram of spike Dmes had 275
3 consecuDve increases in spike likelihood aher the go signal. This was considered the 276
populaDon latency of the burst. 277
278
For foveal neurons, we also someDmes looked at task context. Specifically, we compared 279
foveal bursts that we got from the go signal (see Results) to potenDal bursts that might be 280
associated with the offset of a foveal target sDmulaDng the recorded neurons’ RF’s. We 281
obtained the laier from the ends of the trials in the delayed saccade paradigm used to study 282
the foveal neurons. As menDoned above, aher the monkeys fixated the graDng with a 283
saccade, the graDng covered the fovea, and thus sDmulated the recorded foveal neurons’ 284
RF’s (Zhang et al., 2025). When the graDng disappeared, signaling the end of the trial, the 285
monkeys were without any task-instrucDon and could look wherever they wanted. We 286
measured firing rates aher such graDng disappearance, to look for potenDal sDmulus-offset 287
responses in the neurons. To ensure that there were no influences of potenDal saccades, we 288
only included cases in which there were no saccades aher graDng disappearance for at least 289
150 ms. This way, we had an offset of a visual sDmulus in the recorded RF’s, but there was no 290
instructed saccade context (as was the case with the fixaDon spot offset of the go signal in 291
the main task). 292
293
For the immediate saccade task, we used similar analyses to the ones above. For populaDon 294
firing rates, we normalized the firing rate of each neuron by the peak visual or foveal burst 295
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8
response (see Results). Specifically, we first subtracted the average acDvity of each neuron in 296
the final 100 ms before sDmulus onset from all firing rates at all Dmes in the trials (Zhang et 297
al., 2026). Then, we divided the firing rate curves by the peak value occurring 50-100 ms 298
aher sDmulus onset (Zhang et al., 2026). Then, we averaged across all neurons. This allowed 299
us to focus on the Dming dynamics between foveal and peripheral bursts in this task, as well 300
as on the relaDonships of the bursts to saccadic reacDon Dmes. 301
302
For such saccadic reacDon Dme relaDonships, for each neuron, we split the trials into ones 303
with saccadic reacDon Dmes faster than the median value of the session and ones with 304
longer reacDon Dmes than the median value of the session. Then, we evaluated the 305
peripheral and foveal bursts for both groups of trials separately across neurons. 306
307
StaDsDcally, we always showed standard error of the mean ranges in all plots. For 308
comparisons between condiDons, we used signrank tests, rank sum tests, or t-tests. 309
SomeDmes, we split foveal SC neurons as ones with or without a foveal burst at the go 310
signal. This classificaDon was made staDsDcally. If the neuron’s firing rate 50-150 ms aher the 311
go signal was significantly higher than in the final 100 ms before the go signal with an t-test, 312
then the neuron was classified as having a foveal burst; otherwise, it was not. This allowed 313
us to compare foveal bursts to sDmulus-offset responses from RF mapping tasks. 314
315
316
317
Results
318
319
We first invesDgated the dynamics of switching between fixaDon and saccade generaDon in 320
the standard delayed saccade paradigm. In this paradigm, monkeys fixate an iniDal fixaDon 321
spot, and an eccentric saccade target appears. The monkeys withhold saccadic orienDng 322
towards the eccentric target unDl a go signal arrives, which comes in the form of fixaDon 323
spot disappearance. Classic SC recordings of peripheral neurons in this task demonstrate 324
visual responses to target onset followed by motor bursts at saccade onset, ohen in the very 325
same neurons (Mohler and Wurtz, 1976; Munoz and Wurtz, 1995b; Massot et al., 2019; 326
Jagadisan and Gandhi, 2022; Baumann et al., 2023). Here, we were interested in the 327
neuronal dynamics that take place in between these two phases, and parDcularly at the Dme 328
of the go signal. Moreover, from the same task, we also recorded from foveal SC neurons, 329
which presumably should not burst for either target or saccade onset because of the 330
disparity between their RF locaDons and the saccade target locaDon (Munoz and Wurtz, 331
1993a, b; Dorris and Munoz, 1995; Dorris et al., 1997; Everling et al., 1998; Munoz and 332
Istvan, 1998; Everling et al., 1999; Munoz et al., 2000; Hafed and Krauzlis, 2008; White et al., 333
2013). 334
335
In what follows, we first start by characterizing peripheral SC and V1 neuronal acDvity in the 336
delayed saccade paradigm, demonstraDng a transient reset event in the SC, but not V1, 337
leading up to saccade-related motor bursts. We then document how foveal SC neurons 338
behave at the Dme of the go signal in the same task, revealing a transient bursDng signal 339
that precedes the peripheral SC reset event. Finally, we demonstrate that our observaDons 340
about foveal bursts hold even in reflexive saccade tasks (without an enforced delay), 341
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9
resulDng in the occurrence of two simultaneous short-latency neuronal acDvity bursts (aher 342
saccade target onset) in two disparate SC loci, one foveal and one peripheral. 343
344
345
Peripheral superior colliculus neurons exhibit transient ac6vity pauses before 346
instructed-saccade motor bursts emerge 347
348
We analyzed peripheral SC neuron acDvity from a “saccades-to-graDngs” task that we 349
recently designed (Baumann et al., 2023) (Methods). Figure 1A, C shows the visual RF’s of 350
two example SC neurons from this task. The saccade target (schemaDzed by the white circle) 351
appeared over the neurons’ RF’s, which expectedly elicited visual responses by the neurons 352
(Fig. 1B, leh and Fig. D, leh); these visual responses were different for different image 353
appearances of the saccade target, consistent with the presence of feature tuning properDes 354
in SC neurons (Chen and Hafed, 2018; Chen et al., 2018; Bogadhi and Hafed, 2023; Hafed et 355
al., 2023). Since the two neurons were visual-motor neurons, at the Dme of saccade onset 356
later on in the same trials (Fig. 1B, right and Fig. 1D, right), both neurons also emiied a 357
saccade-related motor burst, which could again vary in strength depending on the visual 358
appearance of the saccade target (Zhang et al., 2022; Baumann et al., 2023; Hafed, 2025). 359
Remarkably, when we measured the acDvity of the two neurons around the Dme of the go 360
signal (Fig. 1B, middle and Fig. 1D, middle), both neurons exhibited a short-latency transient 361
pause in their acDvity (downward gray arrows). This pause occurred with a latency of ~50 ms 362
from the go signal occurrence, and it was apparently also all-or-none. That is, if the 363
sustained acDvity of the neuron was high for one image feature (e.g. 0.5 cpd for the neuron 364
of Fig. 1A, B or 11 cpd for the neuron of Fig. 1C, D), then the reducDon in firing rate aher the 365
go signal was more marked than if the sustained acDvity was low (e.g. for 11 cpd in the 366
neuron of Fig. 1A, B and 2 cpd in the neuron of Fig. 1C, D); this resulted in more similar firing 367
rates aher the go signal than before it, regardless of the iniDal firing rate that was influenced 368
by the image appearance of the saccade target. Immediately aher each pause, the strong 369
motor burst of each neuron erupted, as classically expected from saccade-related SC 370
neurons. 371
372
373
374
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10
375
376
Figure 1 Transient ac/vity pauses before the occurrence of saccade-related motor bursts in the SC. (A) Visual 377
response field of an example SC neuron. The white circle indicates the saccade-target loca<on and size; monkeys 378
were only allowed to generate a saccade to the target upon a go signal (consis<ng of the removal of the fixa<on 379
spot; Methods) (Baumann et al., 2023). (B) The ac<vity of the same example neuron aligned to s<mulus onset in 380
the main saccade task (leJ) , go signal onset (middle), and actual saccade onset (right). Two visual target 381
appearances of the saccade target are shown (each target had a small central spot to aid in saccade accuracy) 382
(Baumann et al., 2023) . Expected differences in visual (leJ) or motor (right) burst proper<es as a func<on of 383
image appearance were observed (Chen and Hafed, 2018; Chen et al., 2018; Zhang et al., 2022; Baumann et al., 384
2023; Hafed et al., 2023; Hafed, 2025). Cri<cally, shortly aJer the go signal (middle), the neuron paused its 385
ac<vity before the strong saccade-related burst could erupt. (C, D) Similar observa<ons from a second example 386
neuron, showing a <me -locked ac<vity pause aJer go signal before the motor bursts finally occurred (middle 387
panel in D). Numbers of trial repe<<ons per panel can be seen from the individual trial spike rasters shown. 388
389
390
391
Across the populaDon of SC neurons, and for all image features that we tested, we measured 392
neuronal acDvity in the final 100 ms before the go signal. Then, we subtracted the acDvity of 393
each neuron around the go signal from this baseline measurement, to obtain a baseline-394
subtracted firing rate (Methods). When we aligned the baseline-subtracted firing rate of all 395
neurons to the go signal, we observed a short-latency reducDon in acDvity right before the 396
elevaDon associated with saccade-related motor bursts (Fig. 2A; SC data; trials with all image 397
features were combined together). This was consistent with what we observed from the two 398
example neurons of Fig. 1. We also measured the raw firing rate of each neuron, both in 399
baseline (final 100 ms before the go signal) as well as 50-150 ms aher the go signal, and we 400
compared the two measurements (Fig. 2B; trials with all image features were combined 401
together). Once again, across the populaDon, there was a robust reducDon in firing rate aher 402
the go signal (p= 7.7693 x 10-23 for the spaDal frequency task; p=1.4893 x 10-19 for the 403
contrast task; p=6.4765 x 10-18 for the orientaDon task; signrank test). 404
405
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11
Thus, we observed a short-latency pause in SC acDvity when releasing an instructed saccade 406
in the classic delayed saccade paradigm. We think that this pause is funcDonally useful in the 407
SC, especially because it represents a perfect and Dmely-suitable opportunity to transform 408
SC representaDons from being in a visual regime to being in a motor regime (Jagadisan and 409
Gandhi, 2022; Baumann et al., 2023; Heusser et al., 2023). 410
411
412
413
414
415
416
417
Figure 2 Ubiquity of SC ac/vity pauses across task contexts, and a lack of a correlate for them in the primary 418
visual cortex (V1) in similar behavioral tasks. (A) Popula<on firing rates aligned on the go signal from the same 419
task as in Fig. 1. Here, we baseline-subtracted the ac<vity of each neuron based on firing rate in the final 100 ms 420
before go signal onset (Methods; numbers of neurons can be inferred from B, C). Across all three task variants 421
(Methods), SC ac<vity pauses were present to the same extent (downward arrow), but there were no such 422
pauses in V1. The later increase in the SC curves is the saccade-related burst, and the even later V1 increase is 423
visual reafference due to eye movement. (B) For each SC neuron, we measured ac<vity in the final 100 ms before 424
go signal onset and ploWed it on the x-axis; on the y-axis; we measured average ac<vity 50-150 ms aJer the go 425
signal. For each task, there was a reduc<on aJer the go signal. (C) There was no such reduc<on in V1. Numbers 426
of neurons are indicated in the figure, and sta<s<cal results are men<oned in the text. 427
428
429
430
431
We also explored the SC pause properDes further, by linking them to the sustained acDvity 432
associated with the image impinging on the visual RF’s of our recorded neurons. Different 433
image features caused different levels of sustained SC acDvity (Chen and Hafed, 2018; Chen 434
et al., 2018) (Figs. 1B, D, 3A). If the SC pause is all-or-none, then image features with higher 435
sustained acDvity should be associated with a bigger firing rate drop than image features 436
with lower sustained acDvity; this would allow converging all SC firing rates to the same 437
(low) level regardless of the image condiDon driving the peripheral neurons’ acDvity. We 438
confirmed this by finding, for each neuron, the image condiDon that gave rise to the highest 439
firing rate in the final 100 ms before the go signal, and we called this the most preferred 440
sustained feature. We also found the image condiDon associated with the lowest sustained 441
firing rate, and called it the least preferred sustained feature. Across neurons, the magnitude 442
of the drop in firing rate between the baseline (final 100 ms before the go signal) and post-443
go (50-150 ms aher the go signal) intervals was larger for the most preferred than least 444
preferred sustained feature (Fig. 3B for the spaDal frequency task); there was a significant 445
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12
difference between the two image features (p= 3.9233 x 10-29; t-test). Results from the 446
contrast and orientaDon tasks were virtually idenDcal, as also seen from Fig. 2A, B. 447
448
Thus, we idenDfied a systemaDc short-latency pause in SC acDvity at the Dme of releasing a 449
task-instructed saccade in the classic delayed saccade paradigm. 450
451
452
453
454
455
Figure 3 Dependence of peripheral SC ac/vity pauses on the viewed s/mulus appearance. (A) Ac<vity of a third 456
example SC neuron at the <me of the go signal for three image appearances of the saccade target. During the 457
delay period leading up to the go signal, the neuron had ongoing ac<vity that was different for the different 458
images, reflec<ng a feature tuning property of the neuron (Hafed et al., 2023). As a result, the amount of ac<vity 459
reduc<on aJer the go signal was s<mulus-dependent: the pause was stronger for the condi<on in which the 460
delay-period ac<vity of the neuron was the highest, resul<ng in the same low ac<vity level regardless of ini<al 461
state. (B) Across all neurons, we measured each neuron’s ac<vity in the final 100 ms before the go signal, and 462
picked the saccade-target image appearance that gave either the highest or lowest such ac<vity. Then, we 463
measured the pause strength (difference between ac<vity aJer the go signal and ac<vity before; Methods) for 464
the most or least preferred image feature. The pause was stronger for the most preferred image feature, 465
consistent with A. Note that only data from the spa<al frequency task is shown, but the other tasks revealed 466
similar results (also seen in Fig. 2). 467
468
469
470
Peripheral superior colliculus ac6vity pauses are absent in the primary visual 471
cortex 472
473
We also wondered whether the transient pause that we saw in the SC was a general 474
property of visually-responsive neurons in other brain areas. Therefore, we collected a 475
smaller number of V1 neurons from the same task (Methods). There was no transient pause 476
aher the go signal, as can be seen from the V1 data in Fig. 2A. Given the fact that a large part 477
of visual responses in the SC derives from V1 (Wilson and Toyne, 1970; Lund, 1972; Schiller 478
et al., 1974; May, 2006; Cerkevich et al., 2014; Zheng et al., 2024), this observaDon confirms 479
that SC visual responses are funcDonally transformed and not merely inherited from the 480
cortex (Wurtz and Mohler, 1976; Hafed et al., 2023; Troienberg et al., 2026). 481
482
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13
Also note that in the V1 neurons, there was a later elevaDon of neuronal acDvity well aher 483
the go signal (Fig. 2A), almost 100 ms later than the elevaDon seen for the SC neurons. This 484
later elevaDon reflects visual reafferent responses in V1 as a result of eyeball rotaDons, 485
whereas the earlier SC increase in firing rate (aher the pause) represents the SC saccade-486
related motor bursts. Figure 2C also shows that in V1, there was no staDsDcally significant 487
difference between acDvity right before and right aher the go signal (p=0.6165 for the 488
spaDal frequency task; p=0.4209 for the contrast task; p=0.5876 for the orientaDon task; 489
signrank test), again confirming the absence of a transient pause in V1 neurons. 490
491
Therefore, our results so far indicate that we observed a transient pause in SC acDvity at the 492
Dme of the go signal in a classic delayed saccade paradigm. This pause was not a general 493
property of other brain areas that might be recruited by the same paradigm, and that might 494
modulate SC acDvity, such as V1. 495
496
497
Peripheral superior colliculus ac6vity pauses are stronger in saccade-related 498
neurons 499
500
As menDoned above, the presence of an SC pause at the go signal might be funcDonally 501
parDcularly useful, because it is only in the SC, and not in V1, that the very same neurons 502
would be engaged in both visual processing and saccade-related modulaDons (Jagadisan and 503
Gandhi, 2022; Baumann et al., 2023; Hafed et al., 2023; Heusser et al., 2023; Hafed, 2025). If 504
this is true, then one might expect that this pause should be more relevant for saccade-505
related SC neurons than for purely visual ones; this is because it is the saccade-related 506
neurons that would exhibit both sensory and motor responses requiring a representaDonal 507
transformaDon on a rapid Dme scale. To check this, we classified our SC neurons as being 508
either purely visual or motor-related. The visual neurons included visual-burst and visual-509
delay neurons, and the motor-related neurons included visual-motor and purely motor 510
neurons, as defined previously (Baumann et al., 2023; Bogadhi and Hafed, 2023; Hafed et al., 511
2023). 512
513
We found that there were stronger pauses for the motor-related SC neurons than for the 514
visual ones. For example, in Fig. 4A, B, we reploied the data of Fig. 2B but aher first 515
classifying the neurons into the two groups menDoned above. Across all tasks, there were 516
bigger differences between the acDvity before and aher the go signal in the motor-related 517
neurons (Fig. 4B) than in the visual neurons (Fig. 4A). To quanDfy this further, we calculated a 518
modulaDon index for each neuron (acDvity aher the go signal minus before the go signal, 519
divided by the sum; Methods). This index was negaDve for acDvity pauses and zero for no 520
pauses. In all tasks, the median value of the modulaDon index was more negaDve in the 521
motor-related neurons than in the visual ones (Fig. 4C, D, E), and the differences between 522
distribuDons of modulaDon indices across the two classes of neurons were staDsDcally 523
significant, but only marginally so for the orientaDon task (the results of the staDsDcal tests 524
are included in the legend of Fig. 4). Thus, the transient pause that we observed was 525
stronger for motor-related neurons. 526
527
Of course, the presence of sustained acDvity at the Dme of the go signal is a prerequisite for 528
successfully seeing a pause, if one is present at all. Thus, it might be suggested that the 529
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14
differences in pause strengths that we saw in Fig. 4 between purely visual and motor-related 530
neurons could reflect a lack of sustained acDvity in the visual neurons. However, this was not 531
the case. For example, inspecDon of the raw firing rates on the x-axis of Fig. 4A reveals that 532
the purely visual SC neurons had similar sustained acDvity levels, in general, to the visual-533
motor and motor neurons (x-axis in Fig. 4B). This is expected because visual neurons 534
(especially visual-delay ones) are known to conDnuously represent the presence of a visual 535
sDmulus over their RF’s. Thus, the results in Fig. 4 are not explained by the purely visual 536
neurons having no (or less) sustained acDvity at the Dme of the go signal than the motor-537
related neurons. 538
539
540
541
542
543
544
Figure 4 Specificity of SC ac/vity pauses for neurons related to the motor genera/on of saccades. (A) Similar 545
analysis to Fig. 2B, but only purely visual SC neurons. Visual neurons were visual-burst and visual-delay neurons 546
(Hafed et al., 2023). There was minimal ac<vity reduc<on at the go signal in these neurons despite the presence 547
of delay-period ac<vity (p=9.8480 x 10 -4 for the spa<al frequency task, p= 3.9107 x 10-5 for the contrast task, 548
p=3.0530 x 10-7 for the orienta<on task; signrank test); also see C-E. (B) Neurons that needed to emit a saccade-549
related motor burst aJer the go signal underwent clearer ac<vity reduc<ons (p=4.5489 x 10-21 for the spa<al 550
frequency task, p=8.0457 x 10-16 for the contrast task, p=1.0135 x 10-12 for the orienta<on task; signrank test). (C, 551
D, E) Neuronal modula<on indices (Methods) for the results in A, B across the different task contexts. Visual-552
motor and motor neurons had generally stronger reduc<ons in their ac<vity aJer the go signal than visual and 553
visual-delay neurons (p=0.000532 for the spa<al frequency task, p=0.004 for the contrast task, p=0.0966 for the 554
orienta<on task; Wilcoxon rank sum test comparing the distribu<on of visual-motor/motor modula<on indices 555
to the distribu<on of visual/visual-delay modula<on indices). The median values of the shown distribu<ons were: 556
-0.1069 and -0.0453 for visual-motor/motor neurons and visual/visual-delay neurons, respec<vely in C; -0.0981 557
and -0.036 in D; -0.0862 and -0.0537 in E. 558
559
560
561
562
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15
563
Foveal superior colliculus neurons exhibit transient bursts instead of pauses 564
565
Having established the presence of a short-latency acDvity pause in SC neurons right before 566
saccade-related bursts erupt, we next asked what happens in foveal SC representaDons 567
during the delayed saccade paradigm. Figure 5A, C shows the visual RF’s of two example 568
foveal SC neurons. In both cases, the RF’s were contained within a reDnotopic eccentricity of 569
2 deg (dashed circle) (Chen et al., 2019), and the saccade target was at an eccentricity of 8-570
10 deg (Methods). At sDmulus onset (Fig. 5B, D, leh) and saccade onset (Fig. 5B, D, right), the 571
two neurons behaved as expected from foveal SC neurons when the saccade target is placed 572
outside of their RF’s: at sDmulus onset, there was either no modulaDon or a reducDon in 573
acDvity; and, at saccade onset, there was a strong pause when the peripheral neurons were 574
emitng their motor bursts. Both of these observaDons were documented before in the SC 575
literature (Munoz and Wurtz, 1993b, a; Hafed and Krauzlis, 2008; Zhang et al., 2025). 576
Remarkably, right aher the go signal, both foveal SC neurons showed a very strong, short-577
latency acDvity burst, which almost doubled or tripled the firing rate relaDve to its level at 578
the Dme of the go signal (Fig. 5B, D, middle; upward gray arrows). This foveal burst occurred 579
right before the saccade-related pause that was seen in the foveal neurons’ acDvity at the 580
Dme of saccade onset. Thus, unlike the peripheral SC neurons (Figs. 1-4), these two example 581
foveal SC neurons showed acDvity bursts, rather than pauses, when releasing instructed 582
saccades (Fig. 5). 583
584
585
586
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16
587
588
Figure 5 Transient ac/vity bursts, rather than pauses, in the foveal representa/on of the SC prior to saccade 589
triggering. (A, B) Similar to the formadng of Fig. 1 but now for an example foveal SC neuron. The RF was 590
constrained in the central 2 deg of visual angle (A), and the saccade target was at a farther eccentricity (Zhang 591
et al., 2025). In B, the neuron behaved as expected at the <mes of s<mulus (leJ) and saccade (right) onset. AJer 592
the go signal (middle), the neuron showed a strong transient burst in ac<vity, and at a qualita<vely similar <me 593
to the peripheral pauses of Figs. 1-4. Note that this neuron is the same example neuron of Fig. 1 in (Zhang et al., 594
2025), but here we addi<onally showed the ac<vity at the <me of the go signal. (C, D) Similar observa<ons for a 595
second example foveal SC neuron. There was again a transient burst right aJer the go signal. All other 596
conven<ons are like Fig. 1. Error bars denote SEM across trial repe<<ons. Panel A was adapted from (Zhang et 597
al., 2025). 598
599
600
601
602
Just like with the peripheral neurons, we also had mulDple visual features of the eccentric 603
saccade target in the version of our delayed saccade paradigm that we used when recording 604
our foveal SC neurons (Methods). This allowed us to invesDgate whether there was any 605
sDmulus dependence of the foveal acDvity bursts. In Fig. 6A, the foveal burst of a third 606
example foveal SC neuron is shown, but this Dme for the two visual appearances of the 607
eccentric saccade target. In both cases, the strength of the foveal burst was the same. This 608
was a general property across our populaDon of foveal SC neurons. Specifically, we 609
measured average firing rate 50-100 ms from go signal occurrence, and we did so for either 610
the low or high spaDal frequency saccade target. There was no difference in foveal burst 611
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17
strength (p=0.8509; signrank test across the populaDon; n=33). Therefore, unlike in the 612
peripheral neurons, the foveal SC burst was not sDmulus-dependent. As we will show later 613
with our Dming analyses, this burst might thus be a general trigger signal to jumpstart 614
peripheral saccadic orienDng, regardless of the peripheral target’s image appearance. 615
616
617
618
619
620
621
622
Figure 6 Lack of s/mulus or direc/on dependence of the foveal bursts. (A) The foveal burst of an example SC 623
neuron for two visual appearances of the peripheral saccade target. The foveal burst was similar in strength for 624
the two s<muli. Error bars denote SEM across trials. (B) We also checked whether the foveal burst depended on 625
congruence between the recorded foveal SC hemifield and the saccade direc<on. There were no or moderate 626
dependencies on saccade direc<on (signrank test; n=33). 627
628
629
630
631
632
We also checked whether the foveal SC burst depended on saccade direcDon. Specifically, 633
foveal SC neurons are lateralized (Chen et al., 2019), just like peripheral ones are. Thus, if a 634
foveal neuron was recorded from the right SC, then it represented the leh foveal space. In 635
this case, a lehward eccentric saccade target would elicit motor bursts in the peripheral 636
neurons of the same SC as the recorded foveal neuron, whereas a rightward saccade would 637
elicit motor bursts in the opposite SC. As can be seen from Fig. 6B, there was no clear 638
dependence of foveal burst strength on saccade direcDon; for the high spaDal frequency 639
saccade target, there was a staDsDcally significant result, but the magnitude of the 640
difference between hemifield direcDons was not qualitaDvely different from that seen with 641
the low spaDal frequency target (for which there was no staDsDcally significant difference 642
between saccade direcDons). Thus, foveal SC bursts (Figs. 5, 6A) also did not show a 643
systemaDc dependence on saccade direcDon relaDve to the recorded neurons’ RF hemifields 644
(Fig. 6B). 645
646
647
648
649
650
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18
Foveal superior colliculus ac6vity bursts lead peripheral pauses 651
652
Our results so far indicate that releasing an instructed saccade in the classic delayed saccade 653
paradigm is associated with a short-latency (foveal) burst in one part of the SC topographic 654
map and a (more peripheral) pause in another (Fig. 7A). To understand the potenDal links 655
between these two types of neuronal responses further, we summarized SC populaDon 656
acDvity in the two groups of neurons, aher normalizing the acDvity of each neuron to its 657
acDvity in the final 100 ms before go signal onset. At the Dme of saccade onset (Fig. 7B), the 658
peripheral neurons emiied strong saccade-related motor bursts, and the foveal neurons 659
decreased their acDvity, consistent with the example neurons of Fig. 5 and with the prior 660
literature (Munoz and Wurtz, 1993b; Hafed and Krauzlis, 2008; Zhang et al., 2025). However, 661
this relaDonship was completely reversed in the go signal epoch (Fig. 7C), with foveal 662
neurons now exhibiDng an approximately three-fold increase in their acDvity immediately 663
aher the go signal and right before saccade triggering; this is consistent with the foveal burst 664
strengths seen in the example neurons of Fig. 5. The peripheral neurons, on the other hand, 665
paused. InteresDngly, plotng the peripheral and foveal neurons together in Fig. 7C revealed 666
that the foveal burst actually led the peripheral pause by some Dme. To beier quanDfy this 667
Dming relaDonship, we binned spike Dmes in all neurons into 2 ms non-overlapping Dme 668
bins, and we esDmated spike likelihood in each Dme bin aher go signal onset. The onset of 669
the foveal burst (defined as the first Dme point to have at least three successive increases in 670
spike likelihood; Methods) led the onset of the peripheral pause (defined as the first Dme 671
point to have at least three successive decreases in spike likelihood; Methods) by 10 ms. 672
673
674
675
676
677
678
Figure 7 Temporal sequencing of foveal bursts and ac/vity pauses in the SC prior to saccade triggering. (A) 679
Schema<c of the SC topographic map (Hafed and Chen, 2016; Chen et al., 2019; Hafed et al., 2021), with an 680
example indica<on of the rela<ve posi<ons of neurons that were recruited in our popula<ons of recordings from 681
either the experiments of Figs. 1 -4 or those of Figs. 5 -6. (B) At the <me of saccade onset, peripheral neurons 682
exhibited a motor burst, and foveal neurons reduced their ac<vity, as expected (Mohler and Wurtz, 1976; Munoz 683
and Wurtz, 1993b, 1995b; Hafed and Krauzlis, 2008, 2012; Zhang et al., 2025). Error bars denote SEM across 684
neurons, and the normaliza<on factor for each neuron was the ac<vity level in the final 100 ms before go signal 685
onset; see C. (C) At the <me of the go signal, foveal neurons exhibited strong bursts, which started slightly earlier 686
than the peripheral SC pauses. (D) We quan<fied this <ming differences by having 2 ms bins in which we 687
measured spike likelihood across all neurons. Then, we iden<fied the onset of the burst or the pause as the first 688
<me point at which the spike likelihood changed in the same direc<on (increase for bursts and decrease for 689
pauses) for at least three more upcoming <me bins (Methods). The peripheral pauses lagged the foveal bursts 690
by 10 ms. 691
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19
Thus, foveal SC bursts at the Dme of releasing instructed saccades in the classic delayed 692
saccade paradigm occur systemaDcally earlier than peripheral SC pauses, and may thus aid 693
in triggering the peripheral pauses. 694
695
696
Foveal superior ac6vity bursts reflect instructed saccade context 697
698
A parsimonious explanaDon for our results so far could relate to intrinsic RF properDes of SC 699
neurons (Hafed et al., 2023), combined with potenDal long-range lateral inhibiDon 700
mechanisms (Munoz and Istvan, 1998; Trappenberg et al., 2001; Isa and Hall, 2009; Marino 701
et al., 2011; Satel et al., 2011; Phongphanphanee et al., 2014). Specifically, it could be 702
possible that the removal of the fixaDon spot in the delayed saccade paradigm may act as an 703
offset sDmulus to foveal SC neurons. Since SC neurons are expected to someDmes have 704
offset responses (i.e. acDvity bursts in response to an offset of a visual sDmulus that was 705
previously present in their RF’s) (Humphrey, 1968; Schiller and Koerner, 1971; Cynader and 706
Berman, 1972; Goldberg and Wurtz, 1972b; Hafed et al., 2023), it is conceivable that the 707
fixaDon spot removal in our saccade paradigm could trigger an offset response in foveal SC 708
neurons. Aher such a response, lateral inhibiDon in the SC might, in turn, cause peripheral 709
neuron acDvity pauses (as a result of the foveal bursts). To invesDgate this potenDal cascade 710
of events, we first compared our foveal bursts to real offset responses as measured by our 711
RF mapping tasks. We then explored other situaDons with offsets of visual sDmuli in our 712
paradigms, but without an explicit task instrucDon to release a saccade. And, finally, we 713
explored cases in which we created a compeDDon between putaDve lateral inhibiDon and 714
the occurrence of peripheral SC acDvity bursts (rather than pauses), to understand whether 715
the peripheral pauses are due to lateral inhibiDon from the foveal bursts or not. We describe 716
the results of these three successive invesDgaDons next. 717
718
To explore whether foveal bursts at the go signal reflect offset responses to the removal of 719
the fixaDon spot, we measured offset responses in our foveal SC neurons from our RF 720
mapping tasks (Methods). During RF mapping, we presented a small white spot (similar to 721
the fixaDon spot) at different locaDons near the fixaDon spot that the monkeys were looking 722
at. Aher a few hundred milliseconds, the white spot was removed, allowing us to measure 723
offset responses. Figure 8A, B shows the offset responses of the two example foveal neurons 724
of Fig. 5. Because foveal SC RF’s are strongly lateralized (Chen et al., 2019) (Fig. 5A, C), 725
fixaDon spot removal in our main task was equivalent to an offset response for a sDmulus 726
that was visible at a non-zero distance, r, from the RF hotspot eccentricity (assuming, rightly, 727
that the monkeys properly centered gaze on the fixaDon spot, on average); here, r would be 728
the distance between the RF hotspot and the central preferred reDnal locus of fixaDon. 729
Therefore, from the RF mapping data, we picked a ring of sampled sDmulus locaDons at a 730
distance r from the RF hotspot (+/- 0.25 deg; Methods). We took all of these sDmulus 731
locaDons in the hemifield of the RF hotspot (to maximize the likelihood of seeing offset 732
responses), and we ploied the RF offset responses in Fig. 8A, B. As can be seen, at the same 733
eccentricity from the RF hotspot as the fixaDon spot in the main task, the two example 734
neurons did not emit substanDal offset responses at all. For comparison, the insets in Fig. 8A, 735
B replicate the foveal bursts of Fig. 5 from the same neurons, showing that the neuronal 736
responses at the go signal in the main task were very different from their responses for the 737
offset of small white spots near their RF hotspots. Thus, for these two example neurons, 738
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20
foveal bursts were not trivially explained by offset responses to the removal of the fixaDon 739
spot. 740
741
742
743
744
745
746
Figure 8 Dissocia/on between foveal bursts aTer the go signal and s/mulus-offset responses in the foveal SC 747
neurons. (A) For the example neuron of Fig. 5A, B, we measured the response of the neuron to the offset of a 748
small spot during the RF mapping task (Methods); we took care to define a band of eccentrici<es and direc<ons 749
in which the s<mulus loca<on was in a similar por<on of the RF as the disappearing fixa<on spot in the main task 750
(Methods). The neuron did not exhibit a substan<al offset response; for comparison, the inset shows the foveal 751
burst of the same neuron from Fig. 5B. Thus, the foveal burst was not an offset response to the disappearance 752
of the fixa<on spot in our saccade task. Error bars denote SEM across trial repe<<ons. (B) Similar observa<ons 753
for the second example neuron of Fig. 5C, D. (C) For each neuron that exhibited a foveal burst in the main saccade 754
task (Methods), we ploWed the foveal burst strength against the offset response of the neuron from the RF 755
mapping task (Methods). There was a moderate rela<onship between offset responses and foveal bursts (r = 756
0.6026, p = 0.0005 for the low spa<al frequency; r = 0.5924, p = 0.0007 for the high spa<al frequency). Each color 757
shows the foveal burst for a one spa<al frequency of the saccade target. (D) For neurons with no foveal burst in 758
the main saccade task (Methods), they could s<ll exhibit offset responses in the RF mapping task (r = 0.2662, p 759
= 0.1166 for the low spa<al frequency ; r = 0.2890, p = 0.0874 for the high spa<al frequency) . Thus, C and D 760
combined suggest that foveal bursts were not always explained by offset responses due to the disappearance of 761
the fixa<on spot in the delayed saccade paradigm. (E) In the main saccade task, aJer a successful saccade to the 762
gra<ng, the gra<ng eventually disappeared, and the monkey was free to make any saccades in the inter-trial 763
interval. The foveal neurons did not burst for the disappearance of the gra<ng, but they s<ll burst for the 764
disappearance of the fixa<on spot during the instructed-saccade phase of the trial (p = 6.6424 x 10-8 for the low 765
spa<al frequency, p = 1.5453 x 10-7 for the high spa<al frequency; signrank test). Thus, foveal bursts were task-766
dependent. 767
768
769
770
771
Across the populaDon of foveal SC neurons, we then collected offset responses and 772
compared them to foveal bursts. In Fig. 8C, we took the neurons that staDsDcally exhibited 773
foveal bursts at the go signal (Methods), and we invesDgated how they behaved in terms of 774
offset responses during the RF mapping task. The neurons did generally exhibit offset 775
responses, as might be expected (Hafed et al., 2023). Importantly, we also looked at foveal 776
SC neurons that did not staDsDcally emit foveal bursts in the main delayed saccade task 777
(Methods). If our foveal bursts of Figs. 5-7 were fully explained by RF offset responses, then 778
these neurons should not have exhibited any offset responses at all in the RF mapping task. 779
In reality, this was not the case at all (Fig. 8D). There were clear offset responses in the RF 780
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21
mapping task for the neurons that did not exhibit strong foveal bursts at the go signal in the 781
main delayed saccade task. Thus, foveal bursts at the go signal in the classic delayed saccade 782
paradigm could be disDnct from simple offset responses associated with fixaDon spot 783
removal. 784
785
Perhaps the strongest evidence that we had for a dissociaDon between offset responses and 786
the foveal SC bursts at the go signal came from our main delayed saccade task itself. 787
Specifically, in this task, aher the monkeys foveated the instructed saccade target (the spaDal 788
frequency graDng), this target eventually disappeared aher a few hundred milliseconds of 789
fixaDon (Methods). Since the monkeys had successfully foveated the saccade target prior to 790
that, the removal of this target in this case was equivalent to an offset sDmulus for the 791
neurons’ RF’s. CriDcally, the monkeys had no explicit task instrucDon associated with the 792
target removal; this disappearance of the visual sDmulus was the onset of the inter-trial 793
interval in which the monkeys were free to look wherever they wanted (Methods), and we 794
analyzed neuronal acDvity of the foveal neurons upon target removal only when there were 795
no saccades for at least 150 ms aher the removal. As can be seen from Fig. 8E, the neurons 796
that did show foveal bursts at the go signal (y-axis) did not show substanDal acDvity 797
elevaDons upon target removal (x-axis). 798
799
Thus, all of the analyses of Fig. 8 suggest that foveal SC bursts are dependent on the task 800
context, and may not trivially reflect simple sDmulus-offset responses due to fixaDon spot 801
removal in the classic delayed saccade paradigm. 802
803
804
Foveal bursts cooccur with peripheral visual responses in reflexive saccade tasks 805
806
If foveal bursts are indeed not explained by sDmulus offset responses, then are the 807
peripheral SC pauses at least sDll explained via long-range lateral inhibiDon mechanisms in 808
the SC (Munoz and Istvan, 1998; Trappenberg et al., 2001; Isa and Hall, 2009; Marino et al., 809
2011; Satel et al., 2011; Phongphanphanee et al., 2014)? We believe that this may not 810
necessarily be the case, and our evidence for this comes from another classic saccade-811
related task, now not enforcing a delay period between fixaDon spot removal and eccentric 812
saccade target appearance (Fig. 9A). When recording from peripheral SC neurons in this task, 813
short-latency visual responses appear, before the saccade-related motor bursts quickly 814
evolve (Bell et al., 2006; Boehnke and Munoz, 2008; Marino et al., 2012; Marino et al., 2015; 815
Troienberg et al., 2026). If lateral inhibiDon was the sole determinant of complementary 816
transient pauses and bursts at disparate SC loci (Fig. 7), then the peripheral visual bursts in 817
this version of the saccade task might be expected to eliminate the foveal bursts that we 818
observed above, and maybe even replace them with pauses instead. Thus, we recorded not 819
only peripheral SC neurons, but also foveal ones in the classic reflexive, visually-guided 820
saccade task (Fig. 9B). 821
822
Figure 9C shows the acDvity of an example peripheral SC neuron. Here, we ploied the 823
neuron’s acDvity aligned on eccentric saccade target onset (which coincided with fixaDon 824
spot removal in this task; Fig. 9A), and aher subtracDng pre-sDmulus acDvity like we did 825
recently (Zhang et al., 2026). The neuron exhibited a short-latency visual response, followed 826
<50-100 ms later by a second volley of spiking. This second volley of spiking was the 827
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22
saccade-related motor burst, as can be seen when aligning the same data to saccade onset 828
(Fig. 9D). Our prior work with this task has taught us that the same rapid transformaDon 829
from a visual to a motor regime also does take place in it (Baumann et al., 2023), suggesDng 830
that a foveal trigger signal might sDll be recruited in such a task. Remarkably, this was indeed 831
the case. When we recorded from an example foveal SC neuron in this task, it exhibited a 832
strong foveal burst (Fig. 9E), before it expectedly paused at saccade onset (Fig. 9F). The net 833
Result
was that the two example neurons of Fig. 9C-F provided suggesDve evidence for the 834
existence of two simultaneous short-latency acDvity bursts in the SC at two very disparate 835
loci: one peripheral represenDng the saccade target appearance, and one foveal associated 836
with the go signal for generaDng a saccade. 837
838
839
840
841
842
843
Figure 9 Persistence of foveal bursts even in immediate, visually-guided saccade tasks. (A) In this task, the go 844
signal (fixa<on spot disappearance) coincided with the onset of the peripheral saccade target. (B) Thus, we could 845
ask whether at the <me of the peripheral visual burst in response to target appearance, we could s<ll observe a 846
foveal burst. (C, D) Example peripheral SC neuron showing expected ac<vity discharge: there was an ini<al visual 847
burst (C), followed immediately by a saccade-related motor burst (D). (E, F) Example foveal SC neuron from the 848
same task. Remarkably, the foveal neuron burst (E) at the same <me as the peripheral visual burst in C. It then 849
reduced its ac<vity at saccade onset (F), as expected from foveal SC neurons (Munoz and Wurtz, 1993b; Hafed 850
and Krauzlis, 2012; Zhang et al., 2025). Trial numbers in C-F can be inferred from the spike rasters, and error bars 851
denote SEM across trials. (G) Popula<on results for all peripheral neurons collected during this task. Error bars 852
denote SEM across neurons. Visual and motor bursts were evident. (H) For the foveal neurons, they exhibited a 853
foveal burst even when the peripheral neurons were burs<ng for the visual onset inside their RF’s (the faint blue 854
curve is a replica<on of the curve in G to illustrate the similarity of the <ming of the two bursts). The neurons 855
then reduced their ac<vity when the peripheral neurons were burs<ng at saccade onset (post-saccadic reafferent 856
responses also emerged). Thus, in the immediate, visually-guided saccade task, there are two simultaneous 857
bursts at two different loci in the SC aJer target appearance. Error bars denote SEM across neurons. 858
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23
859
Across the populaDon, our results were consistent with those seen from the two example 860
neurons. Specifically, peripheral SC neurons showed expected biphasic responses consisDng 861
of a first visual burst followed by a later saccade-related motor burst (Fig. 9G). And, 862
remarkably, foveal SC neurons showed a transient burst at the same Dme as the peripheral 863
visual bursts (Fig. 9H), before reducing their acDvity at the Dme of saccade onset. 864
865
Thus, the complementary nature of transient pauses and bursts at two disparate SC loci that 866
we saw in the delayed saccade paradigm above (e.g. Fig. 7C) was not an obligatory 867
observaDon dictated by lateral inhibiDon mechanisms. Clearly, simultaneous short-latency 868
bursts are possible in the SC (Fig. 9). InteresDngly, we also previously saw that it is possible 869
to observe simultaneous acDvity increases in two different locaDons on the SC map 870
(Buonocore et al., 2021), but in that case, it was a simultaneity between a peripheral visual 871
burst and a foveal microsaccade-related motor burst. Here, it was two transient non-872
saccadic bursts that we observed. Similarly, prior experiments with peripheral SC transient 873
pauses concluded that they were not fully explained by lateral inhibiDon from foveal SC 874
responses to foveal image changes (Li et al., 2006). 875
876
877
Peripheral visual responses, but not foveal bursts, correlate with saccadic 878
reac6on 6me 879
880
The immediate saccade paradigm of Fig. 9A also allowed us to further explore addiDonal 881
properDes of foveal SC bursts. Specifically, we asked to what extent these bursts might relate 882
to saccade Dming variability. In peripheral neurons, we replicated the expected finding that 883
SC visual responses are significantly stronger (and earlier) for faster saccadic reacDon Dmes 884
(Bell et al., 2006; Boehnke and Munoz, 2008; Marino et al., 2012; Marino et al., 2015; Chen 885
et al., 2018; Troienberg et al., 2026). This can be seen from the populaDon results shown in 886
Fig. 10A, C: here, we split the trials for each neuron according to whether the saccadic 887
reacDon Dme was faster or slower than the median of the session, and we found that the 888
faster trials had stronger peripheral SC visual bursts (Fig. 10A, C). No such relaDonship 889
emerged for the simultaneously occurring foveal SC bursts (Fig. 10B, D), again suggesDng 890
that these bursts might be a switch-like trigger signal that is independent of saccade-target 891
appearance (Fig. 6A), saccade direcDon (Fig. 6B), or saccade Dming (Fig. 10B, D). 892
893
894
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24
895
896
Figure 10 Dissocia/on between foveal bursts and saccadic reac/on /mes in immediate, visually -guided 897
saccade tasks. (A) In peripheral SC neurons, we replicated expecta<ons from the previous literature (Bell et al., 898
2006; Boehnke and Munoz, 2008; Marino et al., 2012; Marino et al., 2015; Chen et al., 2018; TroWenberg et al., 899
2026): visual bursts in response to target onset were weaker and slightly later for later saccadic reac<on <mes. 900
In this figure, we split trials by the median saccadic reac<on <me of each session. Then, we ploWed the popula<on 901
firing rates. Trials with late saccades (light blue; later saccade bursts than in the saturated blue) had much 902
weakened and slightly delayed visual bursts. Error bars denote SEM across neurons. (B) In the foveal neurons, 903
we did not observe a clear difference in foveal bursts between trials with fast and slow saccadic reac<on <mes 904
(the different <mes of post-burst ac<vity reduc<ons in the two curves reflect the different <mes of saccade 905
onsets in the two sets of trials per neuron). Error bars denote SEM. (C) Individual neuron results from the analysis 906
of A. Visual bursts were stronger on fast trials (p = 2.6741 x 10-35; signrank test). n=253 neurons. (D) For foveal 907
neurons, there was no difference (p=0.059; signrank test). n=41 neurons. 908
909
910
911
912
913
Finally, and for completeness, we also revisited the foveal bursts from our delayed saccade 914
paradigm. When we analyzed these bursts as a funcDon of saccadic reacDon Dme, we again 915
found that the bursts had the same strength for either the fast or slow saccadic reacDon 916
Dme trials (Fig. 11). Peripheral SC pauses also did not appear to have a systemaDc 917
relaDonship to saccade Dming in the same task. 918
919
920
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25
921
922
Figure 11 Dissocia/on between foveal bursts and saccadic reac/on /mes also in delayed saccade contexts. (A) 923
For the delayed saccade task of Figs. 5-8, we split trials based on the median saccadic reac<on <me of a given 924
session (just like we did for Fig. 10), and we then ploWed popula<on firing rates for the two split groups. Foveal 925
bursts were similar in both cases. (B) Similar results for the other spa<al frequency of the peripheral saccade 926
target. Thus, the foveal bursts behaved similarly in both versions of our visually -guided saccade paradigm in 927
terms of subsequent saccade <ming. Error bars denote SEM across neurons. 928
929
930
931
932
Discussion
933
934
We invesDgated neuronal response dynamics at the Dme of “releasing” instructed saccades 935
in two classic visually-guided saccade paradigms. Such paradigms are rouDnely used in the 936
study of primate sensaDon, cogniDon, and acDon. We specifically idenDfied a transient 937
foveal SC signal that may jumpstart peripheral saccadic orienDng. In delayed saccade 938
paradigms, this foveal signal leads peripheral SC acDvity pauses by ~10 ms, is not explained 939
by sDmulus-offset responses, does not depend on sDmulus appearance or saccade direcDon, 940
and is independent of eventual saccade Dming. Remarkably, in immediate saccade 941
paradigms, this transient foveal signal sDll occurs, resulDng in two simultaneous acDvity 942
bursts at two disparate loci in the SC topographic map. 943
944
Peripheral SC acDvity pauses have been reported before. For example, Li and colleagues 945
employed a foveal sDmulus change as a cue in a target selecDon paradigm. Peripheral SC 946
neurons exhibited transient pauses in their acDvity at the Dme of the foveal sDmulus change 947
(Li et al., 2006). Similar observaDons were made in a variety of related tasks, most of which 948
involving the appearance or modificaDon of a sizeable foveal visual sDmulus, and in mulDple 949
brain areas like the SC, frontal eye fields (FEF), and lateral intraparietal area (LIP) (Li and 950
Basso, 2005; Dorris et al., 2007; White et al., 2013; Grimaldi et al., 2018; Cho et al., 2021; 951
Shinn et al., 2022; SDne et al., 2023). Here, we explicitly recorded foveal SC neurons without 952
presenDng a new foveal sDmulus and demonstrated that peripheral SC pauses might be 953
related to a transient foveal trigger signal. Importantly, this signal is likelu not a simple 954
sensory response, because it clearly depended on the task context, and also because it was 955
dissociated from sDmulus-offset responses observed during RF mapping (Fig. 8). Moreover, 956
the foveal trigger signal need not directly mediate peripheral pauses via lateral inhibiDon 957
(Munoz and Istvan, 1998; Trappenberg et al., 2001; Isa and Hall, 2009; Marino et al., 2011; 958
Satel et al., 2011; Phongphanphanee et al., 2014). This is because we saw peripheral visual 959
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26
bursts at the same Dme as the foveal bursts in the immediate saccade paradigm (Figs. 9, 10); 960
in this case, it would be difficult for lateral inhibiDon mechanisms alone to account for such 961
simultaneity of bursts. 962
963
We believe that there are at least two good reasons for transient peripheral SC pauses to 964
occur in our invesDgated paradigms. The first is biophysical. SC saccade-related bursts are 965
explosive, and can exceed 1000 spikes/s (Goossens and van Opstal, 2012). Thus, a transient 966
pause right before motor bursts could aid in the biophysical processes leading up to burst 967
generaDon (Aizawa et al., 1999; Saito and Isa, 2003; Moren et al., 2013). 968
969
The second reason why peripheral SC pauses may be funcDonally useful is that a large 970
number of saccade-related SC neurons are also sensory neurons as well (Massot et al., 2019; 971
Hafed et al., 2023). This requires a representaDonal transformaDon between visual and 972
motor regimes (Jagadisan and Gandhi, 2022; Ayar et al., 2023; Baumann et al., 2023; 973
Bourrelly et al., 2023; Heusser et al., 2023), and this transformaDon even needs to happen 974
within only a few tens of milliseconds in the immediate saccade paradigm (Baumann et al., 975
2023). For example, Jagadisan and Gandhi (Jagadisan and Gandhi, 2022) showed that while 976
visual and motor bursts in the SC can appear qualitaDvely similar to each other and reach 977
similar firing rates, the temporal structure of SC populaDon acDvity is altered at the Dme of 978
saccade generaDon. In our subsequent confirmaDon of this observaDon, we also noted that 979
acDvity subspaces could be orthogonal to each other in the two neuronal regimes, and that 980
individual neuron preferences for specific images can change between visual and motor 981
epochs (Baumann et al., 2023). Thus, peripheral SC pauses right before the motor bursts 982
would consDtute a perfect resetng mechanism for rapid representaDonal transformaDons 983
to be implemented. It would be interesDng in future studies to understand how these 984
transformaDons themselves emerge. 985
986
In terms of the fovea, prior work has recorded from the deep rostral SC during saccades. 987
Consistent pauses in foveal SC acDvity were observed at the Dme of saccade generaDon 988
(Munoz and Wurtz, 1993b, a). InteresDngly, there were sDll some hints in some of these 989
studies for subtle elevaDons in foveal SC acDvity when releasing saccades by certain task 990
events (Dorris and Munoz, 1995; Dorris et al., 1997; Everling et al., 1998; Munoz and Istvan, 991
1998; Everling et al., 1999; Munoz et al., 2000; Hafed and Krauzlis, 2008; White et al., 2013). 992
However, there was nothing reported that was as strong as we saw, and the foveal 993
elevaDons were not the focus of these earlier studies (and thus not exhausDvely 994
characterized). 995
996
From the perspecDve of the peripheral reset alluded to above, our observed foveal bursts 997
are parDcularly interesDng. This is because they may act as the trigger signal jumpstarDng 998
peripheral pausing, and thus acDvely parDcipate in the orienDng process. Consistent with 999
this, our foveal bursts were not sDmulus or saccade-direcDon dependent. They were also not 1000
related to subsequent saccade Dming, unlike (peripheral) visual bursts (Bell et al., 2006; 1001
Boehnke and Munoz, 2008; Marino et al., 2012; Marino et al., 2015; Troienberg et al., 1002
2026). And, most importantly, they sDll occurred in the immediate saccade paradigm, which 1003
sDll requires a representaDonal transformaDon between visual and motor regimes 1004
(Baumann et al., 2023). Of course, the quesDon is: what drives these bursts? In our work, we 1005
tried to dissociate them from simple offset responses due to the removal of the fixaDon 1006
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27
spot. InteresDngly, we found that target removal at the ends of trials in the main delayed 1007
saccade paradigm was not associated with foveal bursts, suggesDng that the bursts were 1008
indeed dependent on the context of releasing a planned, instructed saccade. 1009
1010
More broadly, we think that it is not unheard of for a foveal signal in the SC to be relevant 1011
for peripheral SC processes. For example, we recently found, in the context of peri-1012
microsaccadic changes in peripheral visual sensiDvity, that exclusive experimental control 1013
over foveal SC state is sufficient to modulate peripheral visual sensiDvity (Zhang et al., 2026). 1014
Similarly, in the opposite direcDon, we also found that foveal SC state can be modulated by 1015
peripheral SC state across saccadic eye movements (Zhang et al., 2025). These observaDons 1016
may relate to wider concepts like traveling waves. While such waves are presently gaining 1017
more research interest, classic SC work has indeed demonstrated a potenDal role of such 1018
waves in acDve vision (Munoz and Wurtz, 1995a; Nakahara et al., 2006). In the future, it 1019
would be interesDng to invesDgate such waves in more detail. For example, we can aiempt 1020
to understand the links between foveal bursts and peripheral pauses by blocking the Inputs 1021
to the SC from the cortex and invesDgaDng whether signatures of an impact of foveal bursts 1022
sDll appears in the peripheral SC representaDon aher losing corDcal drive. 1023
1024
We are also especially intrigued by our observaDon of simultaneous bursts in the foveal and 1025
peripheral SC in the immediate visually-guided saccade paradigm. These simultaneous bursts 1026
are significant because they suggest that the peripheral pauses in the delayed saccade 1027
paradigm may not necessarily result from lateral inhibiDon mechanisms. In fact, in the 1028
immediate saccade paradigm, it was known for many decades that peripheral visual bursts 1029
are actually enhanced, rather than suppressed, relaDve to visual bursts during fixaDon 1030
(Goldberg and Wurtz, 1972a). Since it is very likely that foveal bursts sDll occurred in these 1031
classic experiments (Goldberg and Wurtz, 1972a), had they been invesDgated, it remains to 1032
be seen whether the foveal bursts may actually aid in the peripheral enhancement. 1033
Certainly, in our recent work, we found that enhancing pre-sDmulus acDvity in the foveal SC 1034
can indeed help in enhancing peripheral visual bursts (Zhang et al., 2026). We should also 1035
note that there are other observaDons in the literature for which direct evidence of lateral 1036
inhibiDon between the foveal and peripheral SC representaDons was absent. For example, 1037
when we invesDgated microsaccade generaDon in the foveal SC representaDon, we found 1038
that there could sDll be microsaccade-related foveal SC motor bursts at the exact same Dme 1039
as visually-driven peripheral SC bursts (Buonocore et al., 2021), and we again argued that 1040
lateral inhibiDon would not explain these observaDons. It would be interesDng in the future 1041
to understand the condiDons under which physiological correlates of a lack of lateral 1042
inhibiDon would be most likely to occur. 1043
1044
Finally, the cauDon raised by our present work here is that in the classic study of saccade 1045
tasks, we may have generally assumed that the fixaDon spot was not influenDal. However, it 1046
clearly maiers. While we believe that the foveal bursts that we observed are not direct 1047
responses to fixaDon spot removal in our tasks, it is sDll imperaDve to next ask whether they 1048
would conDnue to happen when there is no foveal sensory transient. For example, one could 1049
use a more abstract go instrucDon (that is also not represented foveally). One possibility 1050
could be to maintain the fixaDon spot visible throughout the trials, and instead use a subtle 1051
spaDally-uninformaDve auditory cue as the instrucDon to generate a saccade. Under certain 1052
circumstances, such sounds only minimally affect visually-driven effects (Malevich et al., 1053
.CC-BY 4.0 International licensemade available under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is
The copyright holder for this preprintthis version posted April 8, 2026. ; https://doi.org/10.64898/2026.04.06.716792doi: bioRxiv preprint
28
2026), and as long as they do not drive foveal SC neurons, one can record from the foveal SC 1054
and check whether the foveal bursts that we observed would sDll happen. 1055
1056
1057
1058
Acknowledgements
1059
1060
We were funded by the German Research AssociaDon (Deutsche Forschungsgemeinschah; 1061
DFG) under the Special Priority Programme “SPP 2411 Sensing LOOPS” (project numbers 1062
520617944, 520283985; HA6749/11-1). We were also supported by the DFG-funded 1063
InternaDonal Research Training Group IRTG2804. 1064
1065
1066
1067
Compe3ng interests statement 1068
1069
The authors declare no compeDng interests. 1070
1071
1072
1073
References
1074
1075
1076
1077
Aizawa H, Kobayashi Y , Yamamoto M, Isa T (1999) InjecDon of nicoDne into the superior 1078
colliculus facilitates occurrence of express saccades in monkeys. J Neurophysiol 1079
82:1642-1646. 1080
Ayar EC, Heusser MR, Bourrelly C, Gandhi NJ (2023) DisDnct context- and content-dependent 1081
populaDon codes in superior colliculus during sensaDon and acDon. Proc Natl Acad 1082
Sci U S A 120:e2303523120. 1083
Baumann MP , Bogadhi AR, Denninger AF, Hafed ZM (2023) Sensory tuning in neuronal 1084
movement commands. Proc Natl Acad Sci U S A 120:e2305759120. 1085
Bell AH, Meredith MA, Van Opstal AJ, Munoz DP (2006) SDmulus intensity modifies saccadic 1086
reacDon Dme and visual response latency in the superior colliculus. Exp Brain Res 1087
174:53-59. 1088
Boehnke SE, Munoz DP (2008) On the importance of the transient visual response in the 1089
superior colliculus. Curr Opin Neurobiol 18:544-551. 1090
Bogadhi AR, Hafed ZM (2023) Express detecDon of visual objects by primate superior 1091
colliculus neurons. ScienDfic reports 13:21730. 1092
Bourrelly C, Massot C, Gandhi NJ (2023) Rapid Input-Output TransformaDon between Local 1093
Field PotenDal and Spiking AcDvity during SensaDon but not AcDon in the Superior 1094
Colliculus. J Neurosci 43:4047-4061. 1095
Buonocore A, Hafed ZM (2023) The inevitability of visual interrupDon. J Neurophysiol 1096
130:225-237. 1097
Buonocore A, Tian X, Khademi F, Hafed ZM (2021) Instantaneous movement-unrelated 1098
midbrain acDvity modifies ongoing eye movements. eLife 10. 1099
.CC-BY 4.0 International licensemade available under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is
The copyright holder for this preprintthis version posted April 8, 2026. ; https://doi.org/10.64898/2026.04.06.716792doi: bioRxiv preprint
29
Cerkevich CM, Lyon DC, Balaram P , Kaas JH (2014) DistribuDon of corDcal neurons projecDng 1100
to the superior colliculus in macaque monkeys. Eye and brain 2014:121-137. 1101
Chen CY , Hafed ZM (2017) A neural locus for spaDal-frequency specific saccadic suppression 1102
in visual-motor neurons of the primate superior colliculus. J Neurophysiol 117:1657-1103
1673. 1104
Chen CY , Hafed ZM (2018) OrientaDon and Contrast Tuning ProperDes and Temporal Flicker 1105
Fusion CharacterisDcs of Primate Superior Colliculus Neurons. Front Neural Circuits 1106
12:58. 1107
Chen CY , Ignashchenkova A, Thier P , Hafed ZM (2015) Neuronal Response Gain Enhancement 1108
prior to Microsaccades. Curr Biol 25:2065-2074. 1109
Chen CY , Hoffmann KP , Distler C, Hafed ZM (2019) The Foveal Visual RepresentaDon of the 1110
Primate Superior Colliculus. Curr Biol 29:2109-2119 e2107. 1111
Chen CY , Sonnenberg L, Weller S, Witschel T, Hafed ZM (2018) SpaDal frequency sensiDvity in 1112
macaque midbrain. Nat Commun 9:2852. 1113
Cho SH, Crapse T, Grimaldi P , Lau H, Basso MA (2021) Variable StaDsDcal Structure of 1114
Neuronal Spike Trains in Monkey Superior Colliculus. J Neurosci 41:3234-3253. 1115
Cynader M, Berman N (1972) RecepDve-field organizaDon of monkey superior colliculus. J 1116
Neurophysiol 35:187-201. 1117
Dorris MC, Munoz DP (1995) A neural correlate for the gap effect on saccadic reacDon Dmes 1118
in monkey. Journal of neurophysiology 73:2558-2562. 1119
Dorris MC, Pare M, Munoz DP (1997) Neuronal acDvity in monkey superior colliculus related 1120
to the iniDaDon of saccadic eye movements. The Journal of neuroscience : the official 1121
journal of the Society for Neuroscience 17:8566-8579. 1122
Dorris MC, Olivier E, Munoz DP (2007) CompeDDve integraDon of visual and preparatory 1123
signals in the superior colliculus during saccadic programming. The Journal of 1124
neuroscience : the official journal of the Society for Neuroscience 27:5053-5062. 1125
Everling S, Pare M, Dorris MC, Munoz DP (1998) Comparison of the discharge characterisDcs 1126
of brain stem omnipause neurons and superior colliculus fixaDon neurons in monkey: 1127
implicaDons for control of fixaDon and saccade behavior. J Neurophysiol 79:511-528. 1128
Everling S, Dorris MC, Klein RM, Munoz DP (1999) Role of primate superior colliculus in 1129
preparaDon and execuDon of anD-saccades and pro-saccades. J Neurosci 19:2740-1130
2754. 1131
Findlay JM (1982) Global visual processing for saccadic eye movements. Vision Res 22:1033-1132
1045. 1133
Findlay JM, Walker R (1999) A model of saccade generaDon based on parallel processing and 1134
compeDDve inhibiDon. Behav Brain Sci 22:661-674; discussion 674-721. 1135
Goldberg ME, Wurtz RH (1972a) AcDvity of superior colliculus in behaving monkey. II. Effect 1136
of aienDon on neuronal responses. J Neurophysiol 35:560-574. 1137
Goldberg ME, Wurtz RH (1972b) AcDvity of superior colliculus in behaving monkey. I. Visual 1138
recepDve fields of single neurons. J Neurophysiol 35:542-559. 1139
Goossens HH, van Opstal AJ (2012) OpDmal control of saccades by spaDal-temporal acDvity 1140
paierns in the monkey superior colliculus. PLoS computaDonal biology 8:e1002508. 1141
Grimaldi P , Cho SH, Lau H, Basso MA (2018) Superior colliculus signals decisions rather than 1142
confidence: analysis of single neurons. J Neurophysiol 120:2614-2629. 1143
Hafed ZM (2025) Superior colliculus peri-saccadic field potenDals are dominated by a visual 1144
sensory preference for the upper visual field. iScience 28:112021. 1145
.CC-BY 4.0 International licensemade available under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is
The copyright holder for this preprintthis version posted April 8, 2026. ; https://doi.org/10.64898/2026.04.06.716792doi: bioRxiv preprint
30
Hafed ZM, Krauzlis RJ (2008) Goal representaDons dominate superior colliculus acDvity 1146
during extrafoveal tracking. J Neurosci 28:9426-9439. 1147
Hafed ZM, Krauzlis RJ (2012) Similarity of superior colliculus involvement in microsaccade 1148
and saccade generaDon. J Neurophysiol 107:1904-1916. 1149
Hafed ZM, Chen CY (2016) Sharper, Stronger, Faster Upper Visual Field RepresentaDon in 1150
Primate Superior Colliculus. Curr Biol 26:1647-1658. 1151
Hafed ZM, Hoffmann KP , Chen CY , Bogadhi AR (2023) Visual FuncDons of the Primate 1152
Superior Colliculus. Annu Rev Vis Sci 9:361-383. 1153
Hafed ZM, Chen CY , Tian X, Baumann M, Zhang T (2021) AcDve vision at the foveal scale in 1154
the primate superior colliculus. J Neurophysiol. 1155
Heusser MR, Jagadisan UK, Gandhi NJ (2023) Drihing populaDon dynamics with transient 1156
resets characterize sensorimotor transformaDon in the monkey superior colliculus. 1157
bioRxiv. 1158
Hikosaka O, Wurtz RH (1983) Visual and oculomotor funcDons of monkey substanDa nigra 1159
pars reDculata. I. RelaDon of visual and auditory responses to saccades. J 1160
Neurophysiol 49:1230-1253. 1161
Humphrey NK (1968) Responses to visual sDmuli of units in the superior colliculus of rats and 1162
monkeys. Exp Neurol 20:312-340. 1163
Isa T, Hall WC (2009) Exploring the superior colliculus in vitro. Journal of neurophysiology 1164
102:2581-2593. 1165
Jagadisan UK, Gandhi NJ (2022) PopulaDon temporal structure supplements the rate code 1166
during sensorimotor transformaDons. Current Biology 32:1010-1025. 1167
Li X, Basso MA (2005) CompeDDve sDmulus interacDons within single response fields of 1168
superior colliculus neurons. J Neurosci 25:11357-11373. 1169
Li X, Kim B, Basso MA (2006) Transient pauses in delay-period acDvity of superior colliculus 1170
neurons. J Neurophysiol 95:2252-2264. 1171
Lund RD (1972) SynapDc paierns in the superficial layers of the superior colliculus of the 1172
monkey, Macaca mulaia. Exp Brain Res 15:194-211. 1173
Malevich T, Baumann MP , Yu Y , Hafed ZM (2026) Vision dominates sound in mediaDng classic 1174
cue-induced microsaccadic eye movement modulaDons in rhesus macaque monkeys. 1175
Journal of Neurophysiology 135:777-796. 1176
Marino RA, Levy R, Munoz DP (2015) Linking express saccade occurance to sDmulus 1177
properDes and sensorimotor integraDon in the superior colliculus. J Neurophysiol 1178
114:879-892. 1179
Marino RA, Trappenberg TP , Dorris M, Munoz DP (2011) SpaDal InteracDons in the Superior 1180
Colliculus Predict Saccade Behavior in a Neural Field Model. Journal of cogniDve 1181
neuroscience. 1182
Marino RA, Levy R, Boehnke S, White BJ, It L, Munoz DP (2012) Linking visual response 1183
properDes in the superior colliculus to saccade behavior. Eur J Neurosci 35:1738-1184
1752. 1185
Massot C, Jagadisan UK, Gandhi NJ (2019) Sensorimotor transformaDon elicits systemaDc 1186
paierns of acDvity along the dorsoventral extent of the superior colliculus in the 1187
macaque monkey. Commun Biol 2:287. 1188
May PJ (2006) The mammalian superior colliculus: laminar structure and connecDons. Prog 1189
Brain Res 151:321-378. 1190
Mohler CW, Wurtz RH (1976) OrganizaDon of monkey superior colliculus: intermediate layer 1191
cells discharging before eye movements. J Neurophysiol 39:722-744. 1192
.CC-BY 4.0 International licensemade available under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is
The copyright holder for this preprintthis version posted April 8, 2026. ; https://doi.org/10.64898/2026.04.06.716792doi: bioRxiv preprint
31
Moren J, Shibata T, Doya K (2013) The mechanism of saccade motor paiern generaDon 1193
invesDgated by a large-scale spiking neuron model of the superior colliculus. PLoS 1194
One 8:e57134. 1195
Munoz DP , Wurtz RH (1993a) FixaDon cells in monkey superior colliculus. II. Reversible 1196
acDvaDon and deacDvaDon. J Neurophysiol 70:576-589. 1197
Munoz DP , Wurtz RH (1993b) FixaDon cells in monkey superior colliculus. I. CharacterisDcs of 1198
cell discharge. J Neurophysiol 70:559-575. 1199
Munoz DP , Wurtz RH (1995a) Saccade-related acDvity in monkey superior colliculus. II. 1200
Spread of acDvity during saccades. J Neurophysiol 73:2334-2348. 1201
Munoz DP , Wurtz RH (1995b) Saccade-related acDvity in monkey superior colliculus. I. 1202
CharacterisDcs of burst and buildup cells. J Neurophysiol 73:2313-2333. 1203
Munoz DP , Istvan PJ (1998) Lateral inhibitory interacDons in the intermediate layers of the 1204
monkey superior colliculus. J Neurophysiol 79:1193-1209. 1205
Munoz DP , Dorris MC, Pare M, Everling S (2000) On your mark, get set: brainstem circuitry 1206
underlying saccadic iniDaDon. Can J Physiol Pharmacol 78:934-944. 1207
Nakahara H, Morita K, Wurtz RH, OpDcan LM (2006) Saccade-related spread of acDvity 1208
across superior colliculus may arise from asymmetry of internal connecDons. J 1209
Neurophysiol 96:765-774. 1210
Phongphanphanee P , Marino RA, Kaneda K, Yanagawa Y , Munoz DP , Isa T (2014) DisDnct local 1211
circuit properDes of the superficial and intermediate layers of the rodent superior 1212
colliculus. Eur J Neurosci 40:2329-2343. 1213
Saito Y , Isa T (2003) Local excitatory network and NMDA receptor acDvaDon generate a 1214
synchronous and bursDng command from the superior colliculus. J Neurosci 23:5854-1215
5864. 1216
Satel J, Wang Z, Trappenberg TP , Klein RM (2011) Modeling inhibiDon of return as short-term 1217
depression of early sensory input to the superior colliculus. Vision Res 51:987-996. 1218
Schiller PH, Koerner F (1971) Discharge characterisDcs of single units in superior colliculus of 1219
the alert rhesus monkey. J Neurophysiol 34:920-936. 1220
Schiller PH, Stryker M, Cynader M, Berman N (1974) Response characterisDcs of single cells 1221
in the monkey superior colliculus following ablaDon or cooling of visual cortex. J 1222
Neurophysiol 37:181-194. 1223
Shinn M, Lee D, Murray JD, Seo H (2022) Transient neuronal suppression for exploitaDon of 1224
new sensory evidence. Nat Commun 13:23. 1225
SDne GM, Trautmann EM, Jeurissen D, Shadlen MN (2023) A neural mechanism for 1226
terminaDng decisions. Neuron 111:2601-2613 e2605. 1227
Trappenberg TP , Dorris MC, Munoz DP , Klein RM (2001) A model of saccade iniDaDon based 1228
on the compeDDve integraDon of exogenous and endogenous signals in the superior 1229
colliculus. Journal of cogniDve neuroscience 13:256-271. 1230
Troienberg C, Yu Y , Zhang T, Baumann MP , Malevich T, Prasad S, Hafed ZM (2026) Much 1231
higher covariaDon with foveaDon Dming by superior colliculus than primary visual 1232
corDcal neuronal acDvity. iScience 29:115432. 1233
White BJ, Marino RA, Boehnke SE, It L, Theeuwes J, Munoz DP (2013) CompeDDve 1234
integraDon of visual and goal-related signals on neuronal accumulaDon rate: a 1235
correlate of oculomotor capture in the superior colliculus. J Cogn Neurosci 25:1754-1236
1768. 1237
Wilson ME, Toyne MJ (1970) ReDno-tectal and corDco-tectal projecDons in Macaca mulaia. 1238
Brain Res 24:395-406. 1239
.CC-BY 4.0 International licensemade available under a
(which was not certified by peer review) is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is
The copyright holder for this preprintthis version posted April 8, 2026. ; https://doi.org/10.64898/2026.04.06.716792doi: bioRxiv preprint
32
Wolpert DM, Ghahramani Z, Jordan MI (1995) An internal model for sensorimotor 1240
integraDon. Science 269:1880-1882. 1241
Wurtz RH, Mohler CW (1976) Enhancement of visual responses in monkey striate cortex and 1242
frontal eye fields. J Neurophysiol 39:766-772. 1243
Zhang T, Bogadhi AR, Hafed ZM (2025) Foveal neurons of the monkey superior colliculus 1244
signal trans-saccadic predicDon errors. PLOS Biology. 1245
Zhang T, Malevich T, Baumann MP , Hafed ZM (2022) Superior colliculus saccade motor bursts 1246
do not dictate movement kinemaDcs. Commun Biol 5:1222. 1247
Zhang T, Tian X, Malevich T, Baumann MB, Hafed ZM (2026) Foveal acDon for the control of 1248
extrafoveal vision. BioRxiv. 1249
Zheng YJ, Adams DL, Gentry TN, Dilbeck MD, Economides JR, Horton JC (2024) ReDnal Input 1250
to Macaque Superior Colliculus Derives from Branching Axons ProjecDng to the 1251
Lateral Geniculate Nucleus. J Neurosci 44. 1252
1253
1254
.CC-BY 4.0 International licensemade available under a
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The copyright holder for this preprintthis version posted April 8, 2026. ; https://doi.org/10.64898/2026.04.06.716792doi: bioRxiv preprint
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