Studying the Possibilities and Efficiency of Operation with Signals in Neural Networks

Abstract

We discuss the possibility of recording and the efficiency of processing of information in freedynamics neural networks with context-dependent parameters when the data are presented in signal form. On the example of numerical stochastic experiments, we demonstrate the possibility of processing of information by free-dynamics neural networks. Closeness of the considered networks to structures of natural biological nature is discussed. Using particular examples, we study the stability of free-dynamics networks with context-dependent parameters in solving problems related to recording of signals in the presence of noise.