SyncBrain: Exploring Brain Functional Dynamics Through Neural Oscillatory Synchronization
Jiaqi Ding, Tingting Dan, Zhixuan Zhou, Guorong Wu
Abstract
Neural coupling is a fundamental mechanism in neuroscience that facilitates the emergence of cognitive functions through dynamic interactions and synchronization among distributed brain regions. Inspired by this principle, we pose the question: Might the biological mechanism of neural oscillatory synchronization inspire the feature representation learning for neuroscience? By addressing this question through the Kuramoto model, renowned for simulating oscillatory dynamics, we present a novel physics-informed deep model, `SyncBrain`, it models brain regions as interacting oscillatory units and simulates their temporal dynamics and synchronization patterns to distinguish cognitive states. Furthermore, inspired by the brain
BibTeX
@inproceedings{aaai2026_syncbrainexplori,
title = {SyncBrain: Exploring Brain Functional Dynamics Through Neural Oscillatory Synchronization},
author = {Jiaqi Ding and Tingting Dan and Zhixuan Zhou and Guorong Wu},
booktitle = {AAAI 2026},
year = {2026}
}