Published January 3, 2024 | Version v1
Journal article Open

The logic of recurrent circuits in the primary visual cortex

  • 1. Rutgers University
  • 2. University of California, Berkeley
  • 3. University of Chicago
  • 4. Stanford University

Description

Recurrent cortical activity sculpts visual perception by refining, amplifying or suppressing visual input. However, the rules that govern the influence of recurrent activity remain enigmatic. We used ensemble-specific two-photon optogenetics in the mouse visual cortex to isolate the impact of recurrent activity from external visual input. We found that the spatial arrangement and the visual feature preference of the stimulated ensemble and the neighboring neurons jointly determine the net effect of recurrent activity. Photoactivation of these ensembles drives suppression in all cells beyond 30 µm but uniformly drives activation in closer similarly tuned cells. In nonsimilarly tuned cells, compact, cotuned ensembles drive net suppression, while diffuse, cotuned ensembles drive activation. Computational modeling suggests that highly local recurrent excitatory connectivity and selective convergence onto inhibitory neurons explain these effects. Our findings reveal a straightforward logic in which space and feature preference of cortical ensembles determine their impact on local recurrent activity.

Data availability

The compressed data to reproduce the key figures of the paper can be found on the GitHub repository (https://github.com/gregoryhandy/Logic_of_Recurrent_Circuits).

Code to reproduce the key figures of the paper can be found on the GitHub repository (https://github.com/gregoryhandy/Logic_of_Recurrent_Circuits). Additional code used for analysis can be found at: https://github.com/willyh101/100spikesAnalysis. Code used for online analysis can be found at https://github.com/willyh101/live2p.

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Additional details

Identifiers

DOI
10.1038/s41593-023-01510-5
Other
oai:uchicago.tind.io:10326

Funding

National Institutes of Health
U19NS107613
National Institutes of Health
R01EY023756
National Institutes of Health
RF1MH120680
National Institutes of Health
UF1NS107574
New York Stem Cell Robertson Fellowship
Chan Zuckerberg Biohub
Investigator Award
National Institutes of Health
R01EB026953
Simons Foundation
National Science Foundation
Fellowship
Swartz Foundation
Fellowship for Theory in Neuroscience
Burroughs Wellcome Fund
Career Award at the Scientific Interface
National Institutes of Health
F31EY031977
National Institutes of Health
R00EY029758
Whitehall Foundation
2023-05-40
Simons Foundation
collaboration on the global brain fellowship

UChicago Information

Division(s)
Biological Sciences Division, Physical Sciences Division
Department(s)
Neurobiology, Statistics
Center(s) or Institute(s)
Grossman Center for Quantitative Biology and Human Behavior