Learning poly-synaptic paths with traveling waves

2019/11/30 by Yoshiki Ito, Ito, Yoshiki, Taro Toyoizumi +1
Engineering · Neuroscience · #Advanced Memory and Neural Computing #FOS: Biological sciences #Neural dynamics and brain function #Neurons and Cognition (q-bio.NC) #Neuroscience and Neuropharmacology Research

paper · pdf · doi:10.48550/arxiv.1912.00226

openalex publication_date 2019/11/30 · openalex created_date 2025/10/10 · openalex updated_date 2026/07/28

Abstract

Traveling waves are commonly observed across the brain. While previous studies have suggested the role of traveling waves in learning, the mechanism is still 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.

Citations

• The Sleep Slow Oscillation as a Traveling Wave
• Dopamine-mediated regulation of corticostriatal synaptic plasticity
• Horizontal Propagation of Visual Activity in the Synaptic Integration Field of Area 17 Neurons
• Learning with three factors: modulating Hebbian plasticity with errors

Related

• Emergent Traveling Waves in Neural Circuits
• Traveling Waves Integrate Spatial Information Through Time
• Rapid, parallel path planning by propagating wavefronts of spiking neural activity
• Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks
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