Abstract
The problem of developing a neural network with a given pattern of the state sequence is considered. A neural network structure and an algorithm of forming its bond matrix which lead to an approximate but robust solution of the problem are proposed and discussed. Limiting characteristics of the serviceability of the proposed structure are studied. Various methods of visualizing dynamic processes in a neural network are compared. Possible applications of the results obtained for interpretation of neurophysiological data and in neuroinformatics systems are discussed.
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Institute of Neurocybernetics, State University, Rostov-on-Don. Translated from Izvestiya Vysshikh Uchebnykh Zavedenii, Radiofizika, Vol. 37, No. 9, pp. 1065–1076, September, 1994.
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Dunin-Barkovskii, V.L., Osovets, N.B. Neural network with formed dynamics of activity. Radiophys Quantum Electron 37, 687–693 (1994). https://doi.org/10.1007/BF01039607
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DOI: https://doi.org/10.1007/BF01039607