Abstract

Receptive field (RF) size and preferred spatial frequency (SF) vary greatly across the primary visual cortex (V1), increasing in a scale invariant fashion with eccentricity. Recent studies reveal that preferred SF also forms a fine-scale periodic map. A fundamental open question is how local variability in preferred SF is tied to the overall spatial RF. Here, we use two-photon imaging to simultaneously measure maps of RF size, phase selectivity, SF bandwidth, and orientation bandwidth—all of which were found to be topographically organized and correlate with preferred SF. Each of these newly characterized inter-map relationships strongly deviate from scale invariance, yet reveal a common motif—they are all accounted for by a model with uniform spatial pooling from scale invariant inputs. Our results and model provide novel and quantitative understanding of the output from V1 to downstream circuits.

Two-photon imaging in macaque V1 captured maps of tuning selectivity for four spatial parameters, all of which correlated with peak spatial frequency. These inter-map relationships reveal a common motif—they are described by uniform spatial pooling from a family of scale invariant Gabor receptive fields.

Details

Title
Uniform spatial pooling explains topographic organization and deviation from receptive-field scale invariance in primate V1
Author
Chen, Y 1 ; Ko H 2 ; Zemelman, B V 3 ; Seidemann, E 1 ; Nauhaus, I 1   VIAFID ORCID Logo 

 University of Texas, Department of Psychology, Austin, USA (GRID:grid.55460.32) (ISNI:0000000121548364); University of Texas, Department of Neuroscience, Austin, USA (GRID:grid.55460.32) (ISNI:0000000121548364); University of Texas, Center for Perceptual Systems, Austin, USA (GRID:grid.55460.32) (ISNI:0000000121548364) 
 University of Texas, Department of Psychology, Austin, USA (GRID:grid.55460.32) (ISNI:0000000121548364); University of Texas, Center for Perceptual Systems, Austin, USA (GRID:grid.55460.32) (ISNI:0000000121548364) 
 University of Texas, Department of Neuroscience, Austin, USA (GRID:grid.55460.32) (ISNI:0000000121548364); University of Texas, Center for Learning and Memory, Austin, USA (GRID:grid.55460.32) (ISNI:0000000121548364) 
Publication year
2020
Publication date
2020
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2473192325
Copyright
© The Author(s) 2020. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.