Introduction to the theory of neural computation
Introduction to the theory of neural computation
Memory Functioning in Psychopathology
ICCS '02 Proceedings of the International Conference on Computational Science-Part I
Creativity and delusions: the dopaminergic modulation of cortical maps
ICCS'03 Proceedings of the 1st international conference on Computational science: PartI
Generalized Simulated Annealing and Memory Functioning in Psychopathology
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
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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.