| Abstract: |
| Based on the whole-brain structural and functional networks, and driven by the dual impetus of models and electroencephalographic data, we design a brain-inspired neural network algorithm and propose targeted theoretical intervention schemes for the detection, prediction, diagnostic analysis and neuromodulatory therapy of brain disorders such as epilepsy, Parkinson`s disease and autism, respectively. We also develop cross-patient optimized algorithms and schemes to improve accuracy, reduce energy consumption and enhance generalization ability. |
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