Maximum-entropy-based metrics for quantifying critical dynamics in spiking neuron data-Reference-Cited by-同舟云学术

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Maximum-entropy-based metrics for quantifying critical dynamics in spiking neuron data

Published:2024-08-01 Issue:2 Volume:110 Page:
ISSN:2470-0045
Container-title:Physical Review E
language:en
Short-container-title:Phys. Rev. E

Author:

Serafim Felipe¹^ORCID,Carvalho Tawan T. A.¹²³^ORCID,Copelli Mauro¹^ORCID,Carelli Pedro V.¹^ORCID

Affiliation:

1. Universidade Federal de Pernambuco

2. University of Minho

3. ICVS/3B's-PT Government Associate Laboratory

Funder

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

Conselho Nacional de Desenvolvimento Científico e Tecnológico

Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco

Publisher

American Physical Society (APS)

Link

http://harvest.aps.org/v2/journals/articles/10.1103/PhysRevE.110.024401/fulltext

Reference36 articles.

1. Neuronal Avalanches in Neocortical Circuits

2. Information Capacity and Transmission Are Maximized in Balanced Cortical Networks with Neuronal Avalanches

3. The Functional Benefits of Criticality in the Cortex

4. Critical Branching Captures Activity in Living Neural Networks and Maximizes the Number of Metastable States

5. Optimal dynamical range of excitable networks at criticality

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