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


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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.

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A. Khobotov

Institute of Applied Physics, Russian Academy of Sciences

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Email: algenn3@gmail.com
俄罗斯联邦, N. Novgorod

A. Khil’ko

Institute of Applied Physics, Russian Academy of Sciences; N. I. Lobachevsky State University of Nizhny Novgorod

Email: algenn3@gmail.com
俄罗斯联邦, N. Novgorod; Nizhny Novgorod

A. Tel’nykh

Institute of Applied Physics, Russian Academy of Sciences

Email: algenn3@gmail.com
俄罗斯联邦, N. Novgorod

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