Stimulus type shapes the topology of cellular functional networks in mouse visual cortex

Disheng Tang (), Joel Zylberberg (), Xiaoxuan Jia () and Hannah Choi ()
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Disheng Tang: Tsinghua University
Joel Zylberberg: York University
Xiaoxuan Jia: Tsinghua University
Hannah Choi: Georgia Institute of Technology

Nature Communications, 2024, vol. 15, issue 1, 1-17

Abstract: Abstract On the timescale of sensory processing, neuronal networks have relatively fixed anatomical connectivity, while functional interactions between neurons can vary depending on the ongoing activity of the neurons within the network. We thus hypothesized that different types of stimuli could lead those networks to display stimulus-dependent functional connectivity patterns. To test this hypothesis, we analyzed single-cell resolution electrophysiological data from the Allen Institute, with simultaneous recordings of stimulus-evoked activity from neurons across 6 different regions of mouse visual cortex. Comparing the functional connectivity patterns during different stimulus types, we made several nontrivial observations: (1) while the frequencies of different functional motifs were preserved across stimuli, the identities of the neurons within those motifs changed; (2) the degree to which functional modules are contained within a single brain region increases with stimulus complexity. Altogether, our work reveals unexpected stimulus-dependence to the way groups of neurons interact to process incoming sensory information.

Date: 2024
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DOI: 10.1038/s41467-024-49704-0

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