Visually driven neuropil activity and information encoding in mouse area V1
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Abstract
Spontaneous calcium fluorescence recorded from large cortical neuropil patches strongly correlates with the electro-corticogram, and is thought to arguably reflect primarily pre-synaptic inputs. Here we used in vivo 2-photon imaging with Oregon Green Bapta (OGB) to study neuropil visual responses to moving gratings in layer 2/3 of mouse area V1. We found neuropil responses to be more reliable and more strongly modulated than neighboring somatic activity. Furthermore, stimulus independent modulations in neuropil activity, i.e. noise correlations, were highly coherent across the cortical surface, up to distances of at least 200 μm. Pairwise neuropil-to-neuropil-patch noise correlation strength was much higher than cell-to-cell noise correlation strength and depended strongly on brain state, decreasing in quiet wakefulness relative to light anesthesia. The profile of neuropil noise correlation strength decreased gently with distance, dropping by ~12% at a distance of 200 μm. This was comparatively slower than the profile of cell-to-cell noise correlations, which dropped by ~30% at 200 μm. Interestingly, in spite of the “salt & pepper” organization of orientation and direction encoding across mouse V1 neurons, populations of neuropil patches, even of moderately large size (radius ~100μm), showed high accuracy for discriminating perpendicularly moving gratings commensurate to the accuracy of corresponding cell populations. These observations underscore the dynamic nature of the functional organization of neuropil activity. Conflict of Interest The authors declare that no competing interests exist.
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References (36)
- doi:10.1038/nmeth.1453 via crossref
- doi:10.1073/pnas.0506029102 via crossref
- doi:10.1152/physiol.00032.2007 via crossref
- doi:10.1016/j.neuron.2010.08.002 via crossref
- doi:10.1523/jneurosci.2974-11.2011 via crossref
- doi:10.1016/s0896-6273(02)00679-7 via crossref
- doi:10.1007/978-3-662-03733-1 via crossref
- doi:10.1056/nejmra021261 via crossref
- doi:10.1016/j.neuron.2010.01.033 via crossref
- doi:10.1016/j.neuron.2014.02.006 via crossref
- doi:10.1038/nmeth706 via crossref
- doi:10.1016/j.neuron.2003.08.012 via crossref
- doi:10.1523/jneurosci.2012-09.2009 via crossref
- doi:10.1163/156856897x00357 via crossref
- doi:10.1364/ol.33.000156 via crossref
- doi:10.1038/nature12354 via crossref
- doi:10.1152/jn.01073.2009 via crossref
- doi:10.1017/cbo9780511804441 via crossref
- doi:10.1109/jstsp.2007.910971 via crossref
- doi:10.1093/bioinformatics/btm134 via crossref
- doi:10.1016/s0167-6377(99)00074-7 via crossref
- doi:10.1038/nature11665 via crossref
- doi:10.1038/nn.3464 via crossref
- doi:10.1038/nn.2484 via crossref
- doi:10.1523/jneurosci.2210-07.2007 via crossref
- doi:10.1523/jneurosci.2929-08.2008 via crossref
- doi:10.1523/jneurosci.23-24-08558.2003 via crossref
- doi:10.1038/nn.2140 via crossref
- doi:10.1073/pnas.0903680106 via crossref
- doi:10.1038/nature03274 via crossref
- doi:10.1038/ncomms12270 via crossref
- doi:10.1016/j.neuron.2008.02.005 via crossref
- doi:10.1152/jn.1973.36.2.205 via crossref
- doi:10.1523/jneurosci.18-10-03870.1998 via crossref
- doi:10.1126/science.1179867 via crossref
- doi:10.1038/nature14273 via crossref
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