Learning and control with chaos: From biology to robotics

Behavioral and Brain Sciences 24 (5):824-825 (2001)
Abstract
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.
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DOI 10.1017/S0140525X01380093
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