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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...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Frontiers Media S.A.
2015
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4525052/ https://www.ncbi.nlm.nih.gov/pubmed/26300769 http://dx.doi.org/10.3389/fncom.2015.00103 |