Pre-Synaptic Pool Modification (PSPM): A supervised learning procedure for recurrent spiking neural networks

Learning synaptic weights of spiking neural network (SNN) models that can reproduce target spike trains from provided neural firing data is a central problem in computational neuroscience and spike-based computing. The discovery of the optimal weight values can be posed as a supervised learning task...

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Detalles Bibliográficos
Autores principales: Bagley, Bryce Allen, Bordelon, Blake, Moseley, Benjamin, Wessel, Ralf
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039446/
https://www.ncbi.nlm.nih.gov/pubmed/32092107
http://dx.doi.org/10.1371/journal.pone.0229083

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7039446/
https://www.ncbi.nlm.nih.gov/pubmed/32092107
http://dx.doi.org/10.1371/journal.pone.0229083

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