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Unsupervised discrimination of patterns in spiking neural networks with excitatory and inhibitory synaptic plasticity
A spiking neural network model is described for learning to discriminate among spatial patterns in an unsupervised manner. The network anatomy consists of source neurons that are activated by external inputs, a reservoir that resembles a generic cortical layer with an excitatory-inhibitory (EI) netw...
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| Publicado no: | Front Comput Neurosci |
|---|---|
| Main Authors: | , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
Frontiers Media S.A.
2014
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4266024/ https://ncbi.nlm.nih.gov/pubmed/25566045 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fncom.2014.00159 |
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