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bioRxiv · 10.1101/2019.12.17.879726

Structural features recapitulate collective dynamics of inhibitory networks

Garg, S.·Singh, D.
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Abstract

Inhibitory interneurons are ubiquitous through-out the central nervous system (CNS) and play an important role in organizing the excitatory neuronal populations into spatiotemporal patterns. These spatiotemporal patterns are believed to play a vital role in encoding sensory information. The olfactory system is a wellknown example where odor information is encoded in temporally evolving activity of the principal neurons and inhibitory interneurons play an important role in generating these patterns. In this work we study how inhibitory interactions generate such patterns in the con-text of odor encoding by simulating random biophysical models of mitral cells. Using the Newman community clustering algorithm we identify synchronously firing groups of neurons that switch in their activity. Our study presents a new method of inferring the dynamics of inhibitory networks from their structure.

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Garg, S., Singh, D.. 2019-12-18. Structural features recapitulate collective dynamics of inhibitory networks. https://doi.org/10.1101/2019.12.17.879726

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