Encoding in Balanced Networks: Revisiting Spike Patterns and Chaos in Stimulus-Driven Systems

Highly connected recurrent neural networks often produce chaotic dynamics, meaning their precise activity is sensitive to small perturbations. What are the consequences of chaos for how such networks encode streams of temporal stimuli? On the one hand, chaos is a strong source of randomness, suggest...

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Detalles Bibliográficos
Autores principales: Lajoie, Guillaume, Lin, Kevin K., Thivierge, Jean-Philippe, Shea-Brown, Eric
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2016
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5156368/
https://www.ncbi.nlm.nih.gov/pubmed/27973557
http://dx.doi.org/10.1371/journal.pcbi.1005258

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5156368/
https://www.ncbi.nlm.nih.gov/pubmed/27973557
http://dx.doi.org/10.1371/journal.pcbi.1005258

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