Learning poly-synaptic paths with traveling waves

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 tra...

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Bibliographic Details
Published in:PLoS computational biology 2021-02, Vol.17 (2), p.e1008700-e1008700
Main Authors: Ito, Yoshiki, Toyoizumi, Taro
Format: Article
Language:English
Subjects:
Biology and Life Sciences
Computer and Information Sciences
Delta function
Dopamine
Dopamine receptors
Firing pattern
Firing rate
Hypotheses
Membrane potential
Membranes
Neural networks
Neurons
Noise
Physical Sciences
Propagation
Punishment
Reinforcement
Signaling
Social Sciences
Spikes
Stimulation
Synaptic strength
Synaptic transmission
Time constant
Traveling waves
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Description
Summary: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.
ISSN:1553-7358
1553-734X
1553-7358
DOI:10.1371/journal.pcbi.1008700