Cargando…
Robustness of Learning That Is Based on Covariance-Driven Synaptic Plasticity
It is widely believed that learning is due, at least in part, to long-lasting modifications of the strengths of synapses in the brain. Theoretical studies have shown that a family of synaptic plasticity rules, in which synaptic changes are driven by covariance, is particularly useful for many forms...
Autor principal: | Loewenstein, Yonatan |
---|---|
Formato: | Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2008
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2265526/ https://www.ncbi.nlm.nih.gov/pubmed/18369414 http://dx.doi.org/10.1371/journal.pcbi.1000007 |
Ejemplares similares
-
A network model that can learn reward timing using reinforced expression of synaptic plasticity
por: Gavornik, Jeffrey P, et al.
Publicado: (2007) -
Synaptic Theory of Replicator-Like Melioration
por: Loewenstein, Yonatan
Publicado: (2010) -
Precise-Spike-Driven Synaptic Plasticity: Learning Hetero-Association of Spatiotemporal Spike Patterns
por: Yu, Qiang, et al.
Publicado: (2013) -
Structured robust covariance estimation
por: Wiesel, Ami, et al.
Publicado: (2015) -
Data Driven Models of Short-Term Synaptic Plasticity
por: Bayat Mokhtari, Elham, et al.
Publicado: (2018)