Network Models for Control and ProcessingeBook - 2000
Researchers report on control, learning and neurobiological models. Applications discussed include robotics, computer logic design, pattern recognition and economics.
-- control solutions using theoretical computational learning models, learning algorithms, and polynomial networks
-- a competitive distribution of activation hypothesis of peristimulus inhibition in the neocortex
-- simulating biological experimentation and physical mechanisms with computer-assisted and hardware models of biological neural networks and neurons
-- improving processes for representing artificial neural networks by verification using SPICE and global optimization techniques