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
A complex neural network model for memory functioning in psychopathology
ICANN'06 Proceedings of the 16th international conference on Artificial Neural Networks - Volume Part I
Generalized Simulated Annealing and Memory Functioning in Psychopathology
ICANN '09 Proceedings of the 19th International Conference on Artificial Neural Networks: Part II
Modelling neurotic psychopathology: memory, attention and symbolization
ICANN'10 Proceedings of the 20th international conference on Artificial neural networks: Part III
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We have previously described the mental pathology known as neurosis, in terms of its relation to memory function. We proposed neural network mechanisms, whereby neurotic behavior is described as a brain associative memory process, and the symbolic associativity involved in psychoanalytic working-through can be mapped onto a corresponding network reconfiguration process. Microscopic mechanisms that control synaptic properties self-organize the memory networks to a hierarchical, clustered structure. Modules corresponding to sensorial and symbolic memories interact, representing unconscious and conscious mental processes. Here, we review these concepts and illustrate, with simulations, some of these complex networks' behaviors and properties.