In this work, we study information processing applications of complex
dynamics and chaos in neural networks. We discuss mathematical models
based on piecewise-linear maps which enable us to realize the basic fu
nctions of information processing using complex dynamics and chaos. Re
alizations of these models using recurrent neural-like systems are pre
sented.