Modelling Associativity in Emergent Mental Behavior with Artificial Neural Networks

Description
In the last decades, much work has been done to study brain and mental processes,based on connexionist models, to understand properties of the topologies and dynamics of neuronal systems. It is possible to study how global emergent behavior arises from the interactions among neurons of these parallel processing neuronal networks, with computer simulations.We will discuss neural network models, whereby some conscious and unconscious activities may be described by associative memory mechanisms. Knowledge from areas such as neurophysiology, psychiatry, psychology,computer science, mathematics and statistical mechanics can be combined, so we can better understand mechanisms which underlie brain and mental processes.This knowledge may contribute to the understanding of therapeutic procedures and to the development of models of artificial machines and cognitive devices.
Organised by Prof. A. Pluchino