Dynamical neural fields were originally proposed as a simplified
mathematical model for cortical information processing in neural
populations and are now used as a theoretical framework for endowing
artificial agents with cognitive capacities. In this seminar we explore
the Hebbian paradigm as a rule for establishing synaptic connections
between fields, endowing the agents with learning abilities and
therefore allowing them to deal with situations not specified in the
design. |