Artificial Intelligence for Brain–Computer Interface
Description
AI4BCI is the first international symposium dedicated to artificial intelligence for brain–computer interfaces — uniting machine learning, neural engineering, and human-centred translation under one programme. The event focuses on the intersection of AI and BCI, emphasizing responsible use of neural data, inclusivity, and a commitment to advancing research in the field.
Highlights
First international symposium solely dedicated to AI for brain–computer interfaces (AI4BCI). Explores invasive and non-invasive, motor and cognitive, clinical and consumer BCI applications. Emphasis on responsible use of neural data including privacy, safety, neuroethics. Focus areas include neural foundation models; encoding & decoding; multimodal & embodied BCI. Clinical translation: rehabilitation, communication, neurodegenerative disease contexts. Datasets, benchmarks, reproducibility for neural time-series research. Single-track format to unify contributions across machine learning, neuroscience, engineering, social sciences. Hosted in person at Simon Building, University of Manchester.
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Meet the speakers
Prof. Damien Coyle
Theme:Professor of Neurotechnology, University of Bath and Ulster University
Prof. Riccardo Poli
Theme:Professor at University of Essex
Prof. Tom Carlson
Theme:Professor of Assistive Robotics at University College London
Prof. Aleksandra Vuckovic
Theme:Professor at University of Glasgow
Dr. Jacques Carolan
Theme:Program Director, ARIA