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Modeling Brain Cognitive Functions by Oscillatory Neural Networks

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Abstract

We describe an oscillatory neural network designed as a system of generalized phase oscillators with a central element. It is shown that a winner-take-all principle can be realized in this system in terms of the competition of peripheral oscillators for the synchronization with a central oscillator. Several examples illustrate how this network can be used for the simulation of various cognitive functions: consecutive selection of objects in the image, visual search, and multiple object tracking.

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Authors and Affiliations

  1. Institute of Mathematical Problems of Biology RAS—the Branch of Keldysh Institute of Applied Mathematics of Russian Academy of Sciences, 142290, Pushchino, Russia

    Yakov Kazanovich

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  1. Yakov Kazanovich
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Correspondence to Yakov Kazanovich.

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Yakov Kazanovich Modeling Brain Cognitive Functions by Oscillatory Neural Networks. Opt. Mem. Neural Networks 28, 175–184 (2019). https://doi.org/10.3103/S1060992X19030044

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  • DOI: https://doi.org/10.3103/S1060992X19030044

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