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Neural Avalanches at the Critical Point between Replay and Non-Replay of Spatiotemporal Patterns

We model spontaneous cortical activity with a network of coupled spiking units, in which multiple spatio-temporal patterns are stored as dynamical attractors. We introduce an order parameter, which measures the overlap (similarity) between the activity of the network and the stored patterns. We find...

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Detalles Bibliográficos
Autores principales: Scarpetta, Silvia, de Candia, Antonio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3688722/
https://www.ncbi.nlm.nih.gov/pubmed/23840301
http://dx.doi.org/10.1371/journal.pone.0064162
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author Scarpetta, Silvia
de Candia, Antonio
author_facet Scarpetta, Silvia
de Candia, Antonio
author_sort Scarpetta, Silvia
collection PubMed
description We model spontaneous cortical activity with a network of coupled spiking units, in which multiple spatio-temporal patterns are stored as dynamical attractors. We introduce an order parameter, which measures the overlap (similarity) between the activity of the network and the stored patterns. We find that, depending on the excitability of the network, different working regimes are possible. For high excitability, the dynamical attractors are stable, and a collective activity that replays one of the stored patterns emerges spontaneously, while for low excitability, no replay is induced. Between these two regimes, there is a critical region in which the dynamical attractors are unstable, and intermittent short replays are induced by noise. At the critical spiking threshold, the order parameter goes from zero to one, and its fluctuations are maximized, as expected for a phase transition (and as observed in recent experimental results in the brain). Notably, in this critical region, the avalanche size and duration distributions follow power laws. Critical exponents are consistent with a scaling relationship observed recently in neural avalanches measurements. In conclusion, our simple model suggests that avalanche power laws in cortical spontaneous activity may be the effect of a network at the critical point between the replay and non-replay of spatio-temporal patterns.
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spelling pubmed-36887222013-07-09 Neural Avalanches at the Critical Point between Replay and Non-Replay of Spatiotemporal Patterns Scarpetta, Silvia de Candia, Antonio PLoS One Research Article We model spontaneous cortical activity with a network of coupled spiking units, in which multiple spatio-temporal patterns are stored as dynamical attractors. We introduce an order parameter, which measures the overlap (similarity) between the activity of the network and the stored patterns. We find that, depending on the excitability of the network, different working regimes are possible. For high excitability, the dynamical attractors are stable, and a collective activity that replays one of the stored patterns emerges spontaneously, while for low excitability, no replay is induced. Between these two regimes, there is a critical region in which the dynamical attractors are unstable, and intermittent short replays are induced by noise. At the critical spiking threshold, the order parameter goes from zero to one, and its fluctuations are maximized, as expected for a phase transition (and as observed in recent experimental results in the brain). Notably, in this critical region, the avalanche size and duration distributions follow power laws. Critical exponents are consistent with a scaling relationship observed recently in neural avalanches measurements. In conclusion, our simple model suggests that avalanche power laws in cortical spontaneous activity may be the effect of a network at the critical point between the replay and non-replay of spatio-temporal patterns. Public Library of Science 2013-06-20 /pmc/articles/PMC3688722/ /pubmed/23840301 http://dx.doi.org/10.1371/journal.pone.0064162 Text en © 2013 Scarpetta, de Candia http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Scarpetta, Silvia
de Candia, Antonio
Neural Avalanches at the Critical Point between Replay and Non-Replay of Spatiotemporal Patterns
title Neural Avalanches at the Critical Point between Replay and Non-Replay of Spatiotemporal Patterns
title_full Neural Avalanches at the Critical Point between Replay and Non-Replay of Spatiotemporal Patterns
title_fullStr Neural Avalanches at the Critical Point between Replay and Non-Replay of Spatiotemporal Patterns
title_full_unstemmed Neural Avalanches at the Critical Point between Replay and Non-Replay of Spatiotemporal Patterns
title_short Neural Avalanches at the Critical Point between Replay and Non-Replay of Spatiotemporal Patterns
title_sort neural avalanches at the critical point between replay and non-replay of spatiotemporal patterns
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3688722/
https://www.ncbi.nlm.nih.gov/pubmed/23840301
http://dx.doi.org/10.1371/journal.pone.0064162
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