InfoFlowNet: A Multi-head Attention-based Self-supervised Learning Model with Surrogate Approach for Uncovering Brain Effective Connectivity

no code implementations • 30 Nov 2023 • Chun-Hsiang Chuang, Shao-Xun Fang, Chih-Sheng Huang, Weiping Ding

In this study, we introduce a novel brain causal inference model named InfoFlowNet, which leverages the self-attention mechanism to capture associations among electroencephalogram (EEG) time series.

Causal Discovery Causal Inference +3