Emergence of time persistence in a data-driven neural network model

Establishing accurate as well as interpretable models of network activity is an open challenge in systems neuroscience. Here, we infer an energy-based model of the anterior rhombencephalic turning region (ARTR), a circuit that controls zebrafish swimming statistics, using functional recordings of th...

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Detalles Bibliográficos
Autores principales: Wolf, Sebastien, Le Goc, Guillaume, Debrégeas, Georges, Cocco, Simona, Monasson, Rémi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2023
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10171858/
https://www.ncbi.nlm.nih.gov/pubmed/36916902
http://dx.doi.org/10.7554/eLife.79541

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10171858/
https://www.ncbi.nlm.nih.gov/pubmed/36916902
http://dx.doi.org/10.7554/eLife.79541

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