Abstract:
The article deals with the influence of stochastic dynamics of the brain's neural ensembles on the perception and processing of sensory information, as well as on decision-making based on it. The review considers sources of noise in the nervous system during sensory information processing, as well as some nervous system strategies of compensating for or taking into account stochastic processes. Experiments and mathemat„ical models are discussed in which stochastic brain dynamics begins to play a significant role in the perception of sensory information. Particular attention is paid to brain noise research paradigms such as the perception of weak stimuli close to the sensitivity threshold and bistable ambiguous stimuli. Methods for assessing brain noise using both psychophysical experiments and direct analysis of neuroimaging data are described. Finally, some issues in applying the concept of stochastic brain dynamics to problems in the biomedical diagnosis of various neurological diseases are considered.
Citation:
A. N. Pisarchik, A. E. Hramov, “Stochastic processes in the brain's neural network and their impact on perception and decision-making”, UFN, 193:12 (2023), 1298–1324; Phys. Usp., 66:12 (2023), 1224–1247
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\by A.~N.~Pisarchik, A.~E.~Hramov
\paper Stochastic processes in the brain's neural network and their impact on perception and decision-making
\jour UFN
\yr 2023
\vol 193
\issue 12
\pages 1298--1324
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\crossref{https://doi.org/10.3367/UFNr.2022.12.039309}
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\jour Phys. Usp.
\yr 2023
\vol 66
\issue 12
\pages 1224--1247
\crossref{https://doi.org/10.3367/UFNe.2022.12.039309}
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Linking options:
https://www.mathnet.ru/eng/ufn15599
https://www.mathnet.ru/eng/ufn/v193/i12/p1298
This publication is cited in the following 6 articles:
Olesia Dogonasheva, Daniil Radushev, Boris Gutkin, Denis Zakharov, “Dynamical manifold dimensionality as characterization measure of chimera states in bursting neuronal networks”, Communications in Nonlinear Science and Numerical Simulation, 140 (2025), 108321
Alexander E. Hramov, Nikita Kulagin, Alexander N. Pisarchik, Andrey V. Andreev, “Strong and weak prediction of stochastic dynamics using reservoir computing”, Chaos: An Interdisciplinary Journal of Nonlinear Science, 35:3 (2025)
Sergey A. Lobov, Alexey Zharinov, Dmitry Kurganov, Viktor B. Kazantsev, “Network memory consolidation under adaptive rewiring”, Eur. Phys. J. Spec. Top., 2025
A. E. Khramov, “Professor Aleksandr Pisarchik: nauchnye dostizheniya i 70 let produktivnoi deyatelnosti”, Izvestiya vuzov. PND, 32:3 (2024), 289–293
Nikita Kulagin, Andrey Andreev, Alexander Hramov, 2024 8th Scientific School Dynamics of Complex Networks and their Applications (DCNA), 2024, 145
A. Badarin, A. Andreev, “Reservoir computing allows recovering hidden network dynamics”, 2023 7th Scientific School Dynamics of Complex Networks and their Applications (DCNA), 2023, 23
Citation in format AMSBIB
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