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Efficient supervised learning in networks with binary synapses
Recent experimental studies indicate that synaptic changes induced by neuronal activity are discrete jumps between a small number of stable states. Learning in systems with discrete synapses is known to be a computationally hard problem. Here, we study a neurobiologically plausible on-line learning...
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| Main Authors: | , , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
National Academy of Sciences
2007
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC1904114/ https://ncbi.nlm.nih.gov/pubmed/17581884 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1073/pnas.0700324104 |
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