Synaptic compensation on Hopfield network: Implications for memory rehabilitation
Tipo
Artigo
Data de publicação
2011
Periódico
Neural Computing and Applications
Citações (Scopus)
3
Autores
Menezes R.A.
Monteiro L.H.A.
Monteiro L.H.A.
Orientador
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ISSN da Revista
Título de Volume
Membros da banca
Programa
Resumo
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. © 2010 Springer-Verlag London Limited.
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Assuntos Scopus
Alzheimer's disease , Binary patterns , Discrete-time neural networks , Experimental studies , Hopfield Networks , Memory rehabilitation , Synaptic compensation