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A Complex Neural Network Model for Memory Functioning in Psychopathology

Wedemann, Roseli S. ; de Carvalho, Luís Alfredo V. ; Donangelo, Raul

Artificial Neural Networks – ICANN 2006, 2006, p.543-552 [Periódico revisado por pares]

Berlin, Heidelberg: Springer Berlin Heidelberg

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  • Título:
    A Complex Neural Network Model for Memory Functioning in Psychopathology
  • Autor: Wedemann, Roseli S. ; de Carvalho, Luís Alfredo V. ; Donangelo, Raul
  • Assuntos: Applied sciences ; Artificial intelligence ; Computer science; control theory; systems ; Connectionism. Neural networks ; Declarative Memory ; Exact sciences and technology ; Memory Functioning ; Memory Trace ; Sensorial Memory ; Symbolic Activity
  • É parte de: Artificial Neural Networks – ICANN 2006, 2006, p.543-552
  • Descrição: In an earlier paper [1], we described the mental pathology known as neurosis in terms of its relation to memory function. We proposed a mechanism whereby neurotic behavior may be understood as an associative memory process in the brain, and the symbolic associative process involved in psychoanalytic working-through can be mapped onto a process of reconfiguration of the neuronal network. Memory was modeled by a Boltzmann machine represented by a complete graph. However, it is known that brain neuronal topology is selectively structured. Here, we further develop the memory model, by including known mechanisms that control synaptic properties, showing that the network self organizes to a hierarchical, clustered structure. Two modules corresponding to sensorial and declarative memory interact, producing sensorial and symbolic activity, representing unconscious and conscious mental processes. This extension of the model allows an evaluation of the idea of working-through in a hierarchical network structure.
  • Editor: Berlin, Heidelberg: Springer Berlin Heidelberg
  • Idioma: Inglês
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  • Realização: ABCD-USP USP   Logos de Redes Sociais: Freepik

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