Synaptic compensation on Hopfield network: implications for memory rehabilitation |
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| Authors: | R A Menezes L H A Monteiro |
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| Affiliation: | 1. Escola de Engenharia, P??s-gradua??o em Engenharia El??trica, Universidade Presbiteriana Mackenzie, Rua da Consola??o, n.896, S?o Paulo, SP, 01302-907, Brazil
2. Escola Polit??cnica, Departamento de Engenharia de Telecomunica??es e Controle, Universidade de S?o Paulo, Av. Prof. Luciano Gualberto, travessa 3, n.380, S?o Paulo, SP, 05508-900, Brazil
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| Abstract: | The discrete-time neural network proposed by Hopfield can be used for storing and recognizing binary patterns. Here, we investigate
how the performance of this network on pattern recognition task is altered when neurons are removed and the weights of the
synapses corresponding to these deleted neurons are divided among the remaining synapses. Five distinct ways of distributing
such weights are evaluated. We speculate how this numerical work about synaptic compensation may help to guide experimental
studies on memory rehabilitation interventions. |
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