Publication:
Functional asymmetry of local connections in V1 and its impact on orientation tuning

Дата
2020
Авторы
Kozhukhov, S. A.
Ivanov, R. S.
Bugrova, V. S.
Verkhlyutov, V. M.
Ushakov, V. L.
Journal Title
Journal ISSN
Volume Title
Издатель
Научные группы
Организационные подразделения
Организационная единица
Институт интеллектуальных кибернетических систем
Цель ИИКС и стратегия развития - это подготовка кадров, способных противостоять современным угрозам и вызовам, обладающих знаниями и компетенциями в области кибернетики, информационной и финансовой безопасности для решения задач разработки базового программного обеспечения, повышения защищенности критически важных информационных систем и противодействия отмыванию денег, полученных преступным путем, и финансированию терроризма.
Выпуск журнала
Аннотация
© 2020 The Authors. Published by Elsevier B.V.Classic models of primary visual cortex (V1) reproduce orientation selectivity with sufficiently high accuracy. However, they are unable to explain phenomena that are widely studied experimentally: A single cell carry additional information in response waveform and oscillations. Among the other effects not reproduced by the classic models are changes in the peak orientation during the response time course and shifts induced by inhibition blockage. We suppose that the main reason for such a failure is assumption that spatial distribution of short-range horizontal connections in V1 is symmetric. In the present study, we provide an experimental evidence that such symmetry is not the case in higher mammals. Based on this evidence we improved the classical model of V1 by replacing the symmetric spatial distribution to another one revealed from experiments. The improved model is able to reproduce orientation shifts and transmission of additional information. This means that the asymmetry shall take into consideration when simulating V1.
Описание
Ключевые слова
Цитирование
Functional asymmetry of local connections in V1 and its impact on orientation tuning / Kozhukhov, S.A. [et al.] // Procedia Computer Science. - 2020. - 169. - P. 620-639. - 10.1016/j.procs.2020.02.201
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