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Learning poly-synaptic paths with traveling waves.

Yoshiki ItoTaro Toyoizumi
Published in: PLoS computational biology (2021)
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.
Keyphrases
  • prefrontal cortex
  • mass spectrometry
  • cerebral ischemia