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Learning poly-synaptic paths with traveling waves.
Ito, Yoshiki; Toyoizumi, Taro.
Affiliation
  • Ito Y; Graduate School of Information and Technology, the Department of Mechano-Informatics, the University of Tokyo, Tokyo, Japan.
  • Toyoizumi T; Lab for Neural Computation and Adaptation, RIKEN Center for Brain Science, Saitama, Japan.
PLoS Comput Biol ; 17(2): e1008700, 2021 02.
Article in En | MEDLINE | ID: mdl-33561118
ABSTRACT
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.
Subject(s)

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain / Models, Neurological / Neuronal Plasticity / Neurons Type of study: Prognostic_studies Limits: Animals / Humans Language: En Journal: PLoS Comput Biol Year: 2021 Document type: Article

Full text: 1 Collection: 01-internacional Database: MEDLINE Main subject: Brain / Models, Neurological / Neuronal Plasticity / Neurons Type of study: Prognostic_studies Limits: Animals / Humans Language: En Journal: PLoS Comput Biol Year: 2021 Document type: Article