Generalized Simulated Annealing and Memory Functioning in Psychopathology

Authors:
Roseli S. Wedemann;Luís Alfredo Carvalho;Raul Donangelo
Affiliations:
Instituto de Matemática e Estatística, Universidade do Estado do Rio de Janeiro, Rio de Janeiro, Brazil 20550-900;Eng. Sistemas e Computação, COPPE - Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil 21945-970;Instituto de Física, Universidade Federal do Rio de Janeiro, Rio de Janeiro, Brazil 21941-972
Venue:
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Year:
2009

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Abstract

We compare the use of Generalized Simulated Annealing (GSA) to the traditional Boltzmann Machine (BM), to model memory functioning, in a neural network model that describes conscious and unconscious processes involved in neurosis, which we proposed in earlier work. Modules corresponding to sensorial and symbolic memories interact, representing unconscious and conscious mental activity. We previously developed an algorithm, based on known microscopic mechanisms that control synaptic properties, and showed that the network self-organizes to a hierarchical, clustered structure. Some properties of the complex networks which result from this self-organization indicate that the use of GSA may be more appropriate than the BM, to model memory access mechanisms. We illustrate the model with simulations.