Target spike patterns enable efficient and biologically plausible learning for complex temporal tasks

Recurrent spiking neural networks (RSNN) in the brain learn to perform a wide range of perceptual, cognitive and motor tasks very efficiently in terms of energy consumption and their training requires very few examples. This motivates the search for biologically inspired learning rules for RSNNs, ai...

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Detalles Bibliográficos
Autores principales: Muratore, Paolo, Capone, Cristiano, Paolucci, Pier Stanislao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2021
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7886200/
https://www.ncbi.nlm.nih.gov/pubmed/33592040
http://dx.doi.org/10.1371/journal.pone.0247014

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7886200/
https://www.ncbi.nlm.nih.gov/pubmed/33592040
http://dx.doi.org/10.1371/journal.pone.0247014

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