Abstract
Most decisions involve multiple cognitive processes. Recent findings suggest that these processes are distributed across the cortex, but that single regions implement them via orthogonal population-activity patterns. How are these local geometries combined across the cortex? Here, we designed a virtual-navigation task for mice that dissociates the accumulation and short-term memory of sensory evidence, and choice. Combining dimensionality reduction and decoding models with cortex-wide widefield Ca 2+ imaging, we observed distributed but near-orthogonal coding subspaces for these different cognitive processes, and that this geometry breaks down during erroneous choices. Further, only the memory subspace corresponded to a spontaneous activity-timescale hierarchy, suggesting that it co-opts intrinsic circuit properties. Thus, we reconcile previous findings by showing that cortex-wide dynamics supporting distinct cognitive processes are disentangled.
Full text
1,058 characters
· extracted from
oa-doi-fallback
· click to expand
Abstract
Most decisions involve multiple cognitive processes. Recent findings suggest that these processes are distributed across the cortex1–21, but that single regions implement them via orthogonal population-activity patterns14,21–33. How are these local geometries combined across the cortex? Here, we designed a virtual-navigation task for mice that dissociates the accumulation and short-term memory of sensory evidence, and choice. Combining dimensionality reduction and decoding models with cortex-wide widefield Ca2+ imaging, we observed distributed but near-orthogonal coding subspaces for these different cognitive processes, and that this geometry breaks down during erroneous choices. Further, only the memory subspace corresponded to a spontaneous activity-timescale hierarchy, suggesting that it co-opts intrinsic circuit properties. Thus, we reconcile previous findings by showing that cortex-wide dynamics supporting distinct cognitive processes are disentangled.
Competing Interest Statement
The authors have declared no competing interest.
Text is read by the "Ask this paper" AI Q&A widget below.
Extraction quality varies by source — PMC NXML preserves structure
cleanly, OA-HTML may include some navigation residue, and OA-PDF can
have broken hyphenation. The publisher copy
(via DOI)
is the canonical version.