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Synchronous Chaos and Broad Band Gamma Rhythm in a Minimal Multi-Layer Model of Primary Visual Cortex

Overview of attention for article published in PLoS Computational Biology, October 2011
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Title
Synchronous Chaos and Broad Band Gamma Rhythm in a Minimal Multi-Layer Model of Primary Visual Cortex
Published in
PLoS Computational Biology, October 2011
DOI 10.1371/journal.pcbi.1002176
Pubmed ID
Authors

Demian Battaglia, David Hansel

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, analysis of Local Field Potentials (LFPs) across different experiments reveals considerable diversity in the degree of oscillatory behavior of this induced activity. Contrast-dependent power enhancements can indeed occur over a broad band in the gamma frequency range and spectral peaks may not arise at all. Furthermore, 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 with an irregular spatiotemporal structure expressing a synchronous chaotic state. As a consequence the population activity undergoes fast temporal decorrelation, with concomitant rapid damping of the oscillations in LFPs autocorrelograms and peak broadening in LFPs power spectra. We show that the strength of the inter-layer coupling crucially affects this spatiotemporal structure. We predict that layer VI inactivation should induce global changes in the spectral properties of induced LFPs, reflecting their slower temporal decorrelation in the absence of inter-layer feedback. Finally, we argue that the mechanism underlying the emergence of synchronous chaos in our model is in fact very general. It stems from the fact that gamma oscillations induced by local delayed inhibition tend to develop chaos when coupled by sufficiently strong excitation.

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Geographical breakdown

Country Count As %
United States 3 3%
France 3 3%
Germany 2 2%
Switzerland 1 1%
Chile 1 1%
Belarus 1 1%
United Kingdom 1 1%
Unknown 75 86%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 21 24%
Researcher 21 24%
Student > Master 12 14%
Professor > Associate Professor 7 8%
Professor 5 6%
Other 11 13%
Unknown 10 11%
Readers by discipline Count As %
Agricultural and Biological Sciences 25 29%
Neuroscience 12 14%
Physics and Astronomy 7 8%
Engineering 7 8%
Medicine and Dentistry 6 7%
Other 18 21%
Unknown 12 14%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 October 2011.
All research outputs
#22,834,739
of 25,461,852 outputs
Outputs from PLoS Computational Biology
#8,588
of 8,981 outputs
Outputs of similar age
#134,763
of 146,132 outputs
Outputs of similar age from PLoS Computational Biology
#120
of 127 outputs
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