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Learning structure of sensory inputs with synaptic plasticity leads to interference

Synaptic plasticity is often explored as a form of unsupervised adaptation in cortical microcircuits to learn the structure of complex sensory inputs and thereby improve performance of classification and prediction. The question of whether the specific structure of the input patterns is encoded in t...

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Detalles Bibliográficos
Publicado en:Front Comput Neurosci
Main Authors: Chrol-Cannon, Joseph, Jin, Yaochu
Formato: Artigo
Idioma:Inglês
Publicado: Frontiers Media S.A. 2015
Assuntos:
Acceso en liña:https://ncbi.nlm.nih.gov/pmc/articles/PMC4525052/
https://ncbi.nlm.nih.gov/pubmed/26300769
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2015.00103
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