TSMCA-Net: A Multi-Granular Cross-Attention Framework for Cross-Session EEG-fNIRS Decoding.
We propose TSMCA-Net, a lightweight cross-session EEG-fNIRS decoder that achieves state-of-the-art accuracy with <1M parameters-70.6% fewer than the strongest baseline-while maintaining sub-8ms inference latency. TSMCA-Net decomposes multimodal interactions into three complementary views-temporal-spatial (TS), temporal...