Artificial Intelligence for Brain–Computer Interface

• Abstract & poster submission deadlineSep 1, 2026Tuesday · 2–4 page extended abstract
• Review periodSep 1 – 22, 20263 weeks · 1–2 reviewers per submission
• PC decisionsSep 23 – 30, 20268 days
• Notification of acceptanceOct 1, 2026Thursday
• Conference datesEarly November, 2026Manchester, UK

We invite original research that advances the science or engineering of AI for brain–computer interfaces. Submissions are double-blind, reviewed by domain experts, and held to the standards of leading machine-learning and neural-engineering venues. We accept up to two-page extended abstracts with a poster.

1. 01 — Neural Foundation Models

   Pretraining across subjects, sessions, devices, and modalities. Self-supervised objectives for neural time series. Transfer to new tasks with minimal calibration.

2. 02 — Decoding & Encoding

   Speech, language, motor, vision, and affect decoding from EEG, ECoG, MEG, fMRI, and intracortical recordings. Brain-to-text, brain-to-image, brain-to-action.

3. 03 — Multimodal & Embodied BCI

   Fusing neural signals with eye tracking, EMG, IMU, audio, and video. Closed-loop systems, neuroprostheses, and human–robot interaction.

4. 04 — Privacy, Safety & Neuroethics

   Federated and on-device learning, differential privacy for neural data, neurorights, mental privacy, and the responsible deployment of decoders.

5. 05 — Clinical Translation

   Restoring communication and movement, rehabilitation, neurodegenerative disease, depression and chronic pain. Trial design, validation, and real-world evidence.

6. 06 — Datasets, Benchmarks & Reproducibility

   Large-scale neural datasets, evaluation protocols, leakage and confound audits, and tooling that makes BCI research reproducible.