Cargando…
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...
| Autores principales: | , |
|---|---|
| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2014
|
| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4266024/ https://www.ncbi.nlm.nih.gov/pubmed/25566045 http://dx.doi.org/10.3389/fncom.2014.00159 |