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Recurrent network of perceptrons with three state synapses achieves competitive classification on real inputs
We describe an attractor network of binary perceptrons receiving inputs from a retinotopic visual feature layer. Each class is represented by a random subpopulation of the attractor layer, which is turned on in a supervised manner during learning of the feed forward connections. These are discrete t...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2012
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3381280/ https://www.ncbi.nlm.nih.gov/pubmed/22737121 http://dx.doi.org/10.3389/fncom.2012.00039 |