Decoding Error-Related Potentials under Multisensory Feedback with Varying Congruency
Error-related potentials (ErrPs) are widely studied neural signatures associated with error processing in human-machine interaction. In realistic settings, error perception often occurs under heterogeneous multisensory feedback, where variability induced by sensory modality and feedback congruency poses challenges for reliable ErrP decoding. In particular, incongruent feedback is associated with increased decoding difficulty and reduced classification performance. To address this challenge, we investigate learning strategies for robust ErrP decoding under multimodal visual, auditory, and tactile feedback with controlled sensory congruency. We adopt a multi-branch EEGNet-based architecture...
| Authors | Yixin Liu, Kang Yin, Hye-Bin Shin et al. |
|---|---|
| Primary category | q-bio.NC |
| Published | 8 July 2026 |
| Last updated at source | 8 July 2026 |
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