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Network Analysis of Murine Cortical Dynamics Implicates Untuned Neurons in Visual Stimulus Coding

34 Pages Posted: 30 Oct 2019 Sneak Peek Status: Under Review

See all articles by Maayan Levy

Maayan Levy

University of Chicago - Committee on Computational Neuroscience

Olaf Sporns

Indiana University Bloomington - Department of Psychological and Brain Sciences

Jason Neil MacLean

University of Chicago - Committee on Computational Neuroscience

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Abstract

Unbiased and dense sampling of large populations of layer 2/3 pyramidal neurons in mouse primary visual cortex (V1) reveals two functional sub-populations: neurons tuned and untuned to drifting gratings. Whether functional interactions between these two groups contribute to the representation of visual stimuli is unclear. To examine these interactions, we summarize the population partial pairwise correlation structure as a directed and weighted graph. We find that tuned and untuned neurons have distinct topological properties, with untuned neurons occupying central positions in functional networks. Implementation of a decoder that utilizes the topology of these functional networks yields accurate decoding of visual stimuli. We further show that decoding performance degrades comparably following manipulations of either tuned or untuned neurons. Our results demonstrate that untuned neurons are an integral component of V1 functional networks and suggest that network interactions contain information about the stimulus that is accessible to downstream elements.

Keywords: functional network, neural code, untuned neurons

Suggested Citation

Levy, Maayan and Sporns, Olaf and MacLean, Jason Neil, Network Analysis of Murine Cortical Dynamics Implicates Untuned Neurons in Visual Stimulus Coding (October 30, 2019). CELL-REPORTS-D-19-04094. Available at SSRN: https://ssrn.com/abstract=3477579
This is a paper under consideration at Cell Press and has not been peer-reviewed.

Maayan Levy

University of Chicago - Committee on Computational Neuroscience ( email )

United States

Olaf Sporns

Indiana University Bloomington - Department of Psychological and Brain Sciences ( email )

Bloomington, ID 47405
United States

Jason Neil MacLean (Contact Author)

University of Chicago - Committee on Computational Neuroscience ( email )

United States

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