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An advanced perception model combining brain noise and adaptation

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Abstract

We develop an advanced model of bistable perception based on the interplay of noise and adaptation. The model describes the decision-making process in the brain consisting in involuntary switches between perceptual states. We study the effects of noise and the stimulus duty cycle on the dominance of a particular externally biased perceptual state. We discuss the biological relevance of our model and compare the obtained numerical results with neurophysiological experiments on brain dynamics. The model qualitatively describes the results of neurophysiological experiments on human perception using bistable images, such as gamma distribution of average dominance times and the effect of brain noise on sustained attention.

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Acknowledgements

A.N.P. thanks the Spanish Ministry of Economy and Competitiveness for supporting the idea of this research under project SAF2016-80240. The data analysis was supported by the Russian Science Foundation (Grant No. 19-12-00050). The authors thank Dr. Gregor Schöner for fruitful discussions on setting up the initial model.

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Authors and Affiliations

  1. Center for Biomedical Technology, Technical University of Madrid, Campus Montegancedo, 28223, Pozuelo de Alarcón, Spain

    Parth Chholak & Alexander N. Pisarchik

  2. Center for Technologies in Robotics and Mechatronics Component, Innopolis University, 1 Universitetskaya Str., Innopolis, The Republic of Tatarstan, Russia, 420500

    Alexander E. Hramov & Alexander N. Pisarchik

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Chholak, P., Hramov, A.E. & Pisarchik, A.N. An advanced perception model combining brain noise and adaptation. Nonlinear Dyn 100, 3695–3709 (2020). https://doi.org/10.1007/s11071-020-05741-0

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