Information-Theoretic Intrinsic Plasticity for Online Unsupervised Learning in Spiking Neural Networks

As a self-adaptive mechanism, intrinsic plasticity (IP) plays an essential role in maintaining homeostasis and shaping the dynamics of neural circuits. From a computational point of view, IP has the potential to enable promising non-Hebbian learning in artificial neural networks. While IP based lear...

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Detalles Bibliográficos
Autores principales: Zhang, Wenrui, Li, Peng
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/PMC6371195/
https://www.ncbi.nlm.nih.gov/pubmed/30804736
http://dx.doi.org/10.3389/fnins.2019.00031

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6371195/
https://www.ncbi.nlm.nih.gov/pubmed/30804736
http://dx.doi.org/10.3389/fnins.2019.00031

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