| 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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