Sparse Computation in Adaptive Spiking Neural Networks

Artificial Neural Networks (ANNs) are bio-inspired models of neural computation that have proven highly effective. Still, ANNs lack a natural notion of time, and neural units in ANNs exchange analog values in a frame-based manner, a computationally and energetically inefficient form of communication...

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Detalles Bibliográficos
Autores principales: Zambrano, Davide, Nusselder, Roeland, Scholte, H. Steven, Bohté, Sander M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6332470/
https://www.ncbi.nlm.nih.gov/pubmed/30670943
http://dx.doi.org/10.3389/fnins.2018.00987

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6332470/
https://www.ncbi.nlm.nih.gov/pubmed/30670943
http://dx.doi.org/10.3389/fnins.2018.00987

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