A Sparsity-Driven Backpropagation-Less Learning Framework Using Populations of Spiking Growth Transform Neurons

Growth-transform (GT) neurons and their population models allow for independent control over the spiking statistics and the transient population dynamics while optimizing a physically plausible distributed energy functional involving continuous-valued neural variables. In this paper we describe a ba...

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Detalles Bibliográficos
Autores principales: Gangopadhyay, Ahana, Chakrabartty, Shantanu
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2021
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8355563/
https://www.ncbi.nlm.nih.gov/pubmed/34393719
http://dx.doi.org/10.3389/fnins.2021.715451

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8355563/
https://www.ncbi.nlm.nih.gov/pubmed/34393719
http://dx.doi.org/10.3389/fnins.2021.715451

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