Email this article Modeling Brain Cognitive Functions by Oscillatory Neural Networks
- Authors: Yakov Kazanovich 1
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Affiliations:
- Institute of Mathematical Problems of Biology RAS—the Branch of Keldysh Institute of Applied Mathematics of Russian Academy of Sciences
- Issue: Vol 28, No 3 (2019)
- Pages: 175-184
- Section: Article
- URL: https://journals.rcsi.science/1060-992X/article/view/195209
- DOI: https://doi.org/10.3103/S1060992X19030044
- ID: 195209
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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.
About the authors
Yakov Kazanovich
Institute of Mathematical Problems of Biology RAS—the Branch of Keldysh Instituteof Applied Mathematics of Russian Academy of Sciences
Author for correspondence.
Email: yasha@impb.ru
Russian Federation, Pushchino, 142290
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