Learning and control with chaos: From biology to robotics
Mathias Quoy, J.P. Banquet, Emmanuel Daucé · Behavioral and Brain Sciences · 2001
After critical appraisal of mathematical and biological characteristics of the model, we discuss how a classical hippocampal neural network expresses functions similar to those of the chaotic model, and then present an alternative stimulus-driven chaotic random recurrent neural network (RRNN) that learns patterns as well as sequences, and controls the navigation of a mobile robot.