Abstract:
We propose a mathematical model that formalizes the macro- and meso-level dynamics of electrical potentials in the primary visual cortex of subjects, which corresponds to the presentation of visual stimuli to them. The mathematical framework is based on a two-layer neural field model, represented by a system of integro-differential equations, where the deep layer of the neural field models electrical activity that does not depend directly on the spatial orientation of the visual stimuli, whereas the activity of the superficial layer is sensitive to spatially oriented stimuli. The experimental design of presenting a series of visual stimuli is formalised in the present study in terms of an impulse control problem for the aforementioned two-layer neural field model. We propose a special metric space for construction of a unique solution to the control problem under standard assumptions for mathematical neurobiology regarding the functions involved in the modeling equations. We formulate sufficient conditions for continuous dependence of the solutions on the impulse control.
Keywords:
integro-differential equations, nonlinear integral equations, bi-laminar neural field model, impulsive control, well-posedness
Citation:
E. O. Burlakov, V. M. Verkhlyutov, I. N. Malkov, “On well-posedness of a mathematical model of evoked activity in the primary visual cortex”, Russian Universities Reports. Mathematics, 29:145 (2024), 43–50
\Bibitem{BurVerMal24}
\by E.~O.~Burlakov, V.~M.~Verkhlyutov, I.~N.~Malkov
\paper On well-posedness of a mathematical model of evoked activity in the primary visual cortex
\jour Russian Universities Reports. Mathematics
\yr 2024
\vol 29
\issue 145
\pages 43--50
\mathnet{http://mi.mathnet.ru/vtamu312}
\crossref{https://doi.org/10.20310/2686-9667-2024-29-145-43-50}
Linking options:
https://www.mathnet.ru/eng/vtamu312
https://www.mathnet.ru/eng/vtamu/v29/i145/p43
This publication is cited in the following 3 articles:
Ivan Malkov, Evgenii Burlakov, Vitaly Verkhlyutov, Vadim Ushakov, Studies in Computational Intelligence, 1179, Advances in Neural Computation, Machine Learning, and Cognitive Research VIII, 2025, 244
Ivan Malkov, Evgenii Burlakov, Vitaly Verkhlyutov, Vadim Ushakov, Advances in Neural Computation, Machine Learning, and Cognitive Research VIII, 2024, 244
E. O. Burlakov, V. A. Yarema, “O zadachakh impulsnogo upravleniya, voznikayuschikh pri razrabotke avtomatizirovannykh sistem kontrolya chislennosti vreditelei v teplichnykh kompleksakh”, Vestnik rossiiskikh universitetov. Matematika, 29:148 (2024), 381–390