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In this paper, Cohen-Grossberg neural networks with unpredictable andcompartmental periodic unpredictable strengths of connectivity between cellsand inputs are investigated. To approve Poisson stability and unpredictabilityin neural networks, the method of included intervals and contraction mappingprinciple are used. The existence, uniqueness, and exponential stability ofunpredictable and Poisson stable outputs are discussed. Examples with numericalsimulations that support the theoretical results are provided. The dependenceof the neural network dynamics on the numerical characteristic, the degree ofperiodicity, is shown.

Cohen-Grossberg neural networks with unpredictable and Poisson stable dynamics