Recurrent network of perceptrons with three state synapsesachieves competitive classification on real inputs
We describe an attractor network of binary perceptrons receiving inputs from a retinotopicvisual 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. Theseare discrete thre...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Frontiers Media S.A.
2012-06-01
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| Series: | Frontiers in Computational Neuroscience |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fncom.2012.00039/full |