Depolarization induced suppression of excitation and the emergence of ultra-slow rhythms in neural networks

Ultra-slow fluctuations (0.01-0.1 Hz) are a feature of intrinsic brain activity of as yet unclear origin. We propose a candidate mechanism based on retrograde endocannabinoid signaling in a synaptically coupled network of excitatory neurons. This is known to cause depolarization-induced suppressio...

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Main Authors: Hlinka, Jaroslav, Coombes, Stephen
Format: Article
Published: American Physical Society 2010
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Online Access:https://eprints.nottingham.ac.uk/1227/
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author Hlinka, Jaroslav
Coombes, Stephen
author_facet Hlinka, Jaroslav
Coombes, Stephen
author_sort Hlinka, Jaroslav
building Nottingham Research Data Repository
collection Online Access
description Ultra-slow fluctuations (0.01-0.1 Hz) are a feature of intrinsic brain activity of as yet unclear origin. We propose a candidate mechanism based on retrograde endocannabinoid signaling in a synaptically coupled network of excitatory neurons. This is known to cause depolarization-induced suppression of excitation (DISE), which we model phenomenologically. We construct emergent network oscillations in a globally coupled network and show that for strong synaptic coupling DISE can lead to a synchronized population burst at the frequencies of resting brain rhythms.
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spelling nottingham-12272020-05-04T20:25:33Z https://eprints.nottingham.ac.uk/1227/ Depolarization induced suppression of excitation and the emergence of ultra-slow rhythms in neural networks Hlinka, Jaroslav Coombes, Stephen Ultra-slow fluctuations (0.01-0.1 Hz) are a feature of intrinsic brain activity of as yet unclear origin. We propose a candidate mechanism based on retrograde endocannabinoid signaling in a synaptically coupled network of excitatory neurons. This is known to cause depolarization-induced suppression of excitation (DISE), which we model phenomenologically. We construct emergent network oscillations in a globally coupled network and show that for strong synaptic coupling DISE can lead to a synchronized population burst at the frequencies of resting brain rhythms. American Physical Society 2010 Article PeerReviewed Hlinka, Jaroslav and Coombes, Stephen (2010) Depolarization induced suppression of excitation and the emergence of ultra-slow rhythms in neural networks. Physical Review Letters . ISSN 0031-9007 (In Press) Neural networks Depolarization induced suppression of excitation splay states Morris-Lecar model strong global coupling http://prl.aps.org/
spellingShingle Neural networks
Depolarization induced suppression of excitation
splay states
Morris-Lecar model
strong global coupling
Hlinka, Jaroslav
Coombes, Stephen
Depolarization induced suppression of excitation and the emergence of ultra-slow rhythms in neural networks
title Depolarization induced suppression of excitation and the emergence of ultra-slow rhythms in neural networks
title_full Depolarization induced suppression of excitation and the emergence of ultra-slow rhythms in neural networks
title_fullStr Depolarization induced suppression of excitation and the emergence of ultra-slow rhythms in neural networks
title_full_unstemmed Depolarization induced suppression of excitation and the emergence of ultra-slow rhythms in neural networks
title_short Depolarization induced suppression of excitation and the emergence of ultra-slow rhythms in neural networks
title_sort depolarization induced suppression of excitation and the emergence of ultra-slow rhythms in neural networks
topic Neural networks
Depolarization induced suppression of excitation
splay states
Morris-Lecar model
strong global coupling
url https://eprints.nottingham.ac.uk/1227/
https://eprints.nottingham.ac.uk/1227/