Training spiking neuronal networks to perform motor control using reinforcement and evolutionary learning

Artificial neural networks (ANNs) have been successfully trained to perform a wide range of sensory-motor behaviors. In contrast, the performance of spiking neuronal network (SNN) models trained to perform similar behaviors remains relatively suboptimal. In this work, we aimed to push the field of S...

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Detalles Bibliográficos
Autores principales: Haşegan, Daniel, Deible, Matt, Earl, Christopher, D’Onofrio, David, Hazan, Hananel, Anwar, Haroon, Neymotin, Samuel A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9563231/
https://www.ncbi.nlm.nih.gov/pubmed/36249482
http://dx.doi.org/10.3389/fncom.2022.1017284

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9563231/
https://www.ncbi.nlm.nih.gov/pubmed/36249482
http://dx.doi.org/10.3389/fncom.2022.1017284

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