RT Journal Article
T1 Synchronization of heteroclinic circuits through learning in coupled neural networks.
A1 Selskii, Anton
A1 Makarov Slizneva, Valeriy
AB 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.
PB Maik Nauka Publishing
SN 15603547
YR 2016
FD 2016
LK https://hdl.handle.net/20.500.14352/24406
UL https://hdl.handle.net/20.500.14352/24406
LA eng
NO Russian Science Foundation
DS Docta Complutense
RD 25 abr 2025