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Эта публикация цитируется в 6 научных статьях (всего в 6 статьях)
Synchronization of Heteroclinic Circuits through Learning in Coupled Neural Networks
Anton Selskiia, Valeri A. Makarovab a N.I. Lobachevsky State University of Nizhny Novgorod, ul. Gagarina 23, Nizhny Novgorod, 603950, Russia
b Instituto de Matemática Interdiciplinar, F. CC. Matemáticas, Universidad Complutense de Madrid, Madrid, 28040, Spain
Аннотация:
The synchronization of oscillatory activity in neural networks is usually implemented by coupling the state variables describing neuronal dynamics. Here we study another, but complementary mechanism based on a learning process with memory. A driver network, acting as a teacher, exhibits winner-less competition (WLC) dynamics, while a driven network, a learner, tunes its internal couplings according to the oscillations observed in the teacher. We show that under appropriate training the learner can “copy” the coupling structure and thus synchronize oscillations with the teacher. The replication of the WLC dynamics occurs for intermediate memory lengths only, consequently, the learner network exhibits a phenomenon of learning resonance.
Ключевые слова:
synchronization, learning, heteroclinic circuit, neural networks, winner-less competition.
Поступила в редакцию: 25.08.2015 Принята в печать: 01.09.2015
Образец цитирования:
Anton Selskii, Valeri A. Makarov, “Synchronization of Heteroclinic Circuits through Learning in Coupled Neural Networks”, Regul. Chaotic Dyn., 21:1 (2016), 97–106
Образцы ссылок на эту страницу:
https://www.mathnet.ru/rus/rcd68 https://www.mathnet.ru/rus/rcd/v21/i1/p97
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