Synchronous chaos and broad band gamma rhythm in a minimal multi-layer model of primary visual cortex
Demian Battaglia, David Hansel

TL;DR
This paper presents a minimal multi-layer model of primary visual cortex demonstrating how interactions between layers can produce synchronous chaos, explaining rapid decorrelation and broad gamma rhythms observed in V1 activity.
Contribution
It introduces a novel multi-layer cortical model showing how layer interactions induce synchronous chaos, accounting for fast gamma rhythm decorrelation in V1.
Findings
High contrast induces synchronous chaotic gamma oscillations.
Low contrast results in weakly synchronous, transient activity.
Synchronous chaos arises from coupled local inhibition and excitation mechanisms.
Abstract
Visually induced neuronal activity in V1 displays a marked gamma-band component which is modulated by stimulus properties. It has been argued that synchronized oscillations contribute to these gamma-band activity [... however,] even when oscillations are observed, they undergo temporal decorrelation over very few cycles. This is not easily accounted for in previous network modeling of gamma oscillations. We argue here that interactions between cortical layers can be responsible for this fast decorrelation. We study a model of a V1 hypercolumn, embedding a simplified description of the multi-layered structure of the cortex. When the stimulus contrast is low, the induced activity is only weakly synchronous and the network resonates transiently without developing collective oscillations. When the contrast is high, on the other hand, the induced activity undergoes synchronous oscillations…
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