Ito Y(1), Toyoizumi T(2)(3). Author information:
(1)Graduate School of Information and Technology, the Department of
Mechano-Informatics, the University of Tokyo, Tokyo, Japan.
(2)Lab for Neural Computation and Adaptation, RIKEN Center for Brain Science,
Saitama, Japan.
(3)Department of Mathematical Informatics, Graduate School of Information
Science and Technology, the University of Tokyo, Tokyo, Japan.
Traveling waves are commonly observed across the brain. While previous studies have suggested the role of traveling waves in learning, the mechanism remains unclear. We adopted a computational approach to investigate the effect of traveling waves on synaptic plasticity. Our results indicate that traveling waves facilitate the learning of poly-synaptic network paths when combined with a reward-dependent local synaptic plasticity rule. We also demonstrate that traveling waves expedite finding the shortest paths and learning nonlinear input/output mapping, such as exclusive or (XOR) function.
OUR JOURNALS
Having over 250 Research scholars worldwide and more than 400 articles online with open access.
