Training a spiking neuronal network model of visual-motor cortex to play a virtual racket-ball game using reinforcement learning

Recent models of spiking neuronal networks have been trained to perform behaviors in static environments using a variety of learning rules, with varying degrees of biological realism. Most of these models have not been tested in dynamic visual environments where models must make predictions on futur...

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Detalles Bibliográficos
Autores principales: Anwar, Haroon, Caby, Simon, Dura-Bernal, Salvador, D’Onofrio, David, Hasegan, Daniel, Deible, Matt, Grunblatt, Sara, Chadderdon, George L., Kerr, Cliff C., Lakatos, Peter, Lytton, William W., Hazan, Hananel, Neymotin, Samuel A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9094569/
https://www.ncbi.nlm.nih.gov/pubmed/35544518
http://dx.doi.org/10.1371/journal.pone.0265808

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9094569/
https://www.ncbi.nlm.nih.gov/pubmed/35544518
http://dx.doi.org/10.1371/journal.pone.0265808

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