Connectionists: Essex BCI-NE webinar: AI-enabled Brain-Computer Interfaces for Awareness Assessment by Prof. Damien Coyle
Perdikis, Serafeim
serafeim.perdikis at essex.ac.uk
Sat Nov 1 07:35:14 EDT 2025
Dear all,
Please, take note of the next BCI-NE seminar featuring Professor Damien Coyle.
[cid:4282fef0-1a15-407f-bf55-bf59a5ea1dc4]
https://www.linkedin.com/company/essex-bcine-lab/
The Essex BCI-NE Lab invites you to join our next monthly webinar:
AI-enabled Brain-Computer Interfaces for Awareness Assessment after Brain Injury and Assistive Technology, Rehabilitation and Entertainment Applications of Neurotechnology
Delivered by
Professor Damien Coyle
Professor of Neurotechnology and Director, The Bath Institute for the Augmented Human, University of Bath
Professor of Neurotechnology, Intelligent Systems Research Centre, Ulster University
Founder and CEO, NeuroCONCISE Ltd
The webinar will take place in Colchester campus and over Zoom on Thursday, 13th November 2025, at 4PM UK time
RSVP: https://www.linkedin.com/feed/update/urn:li:activity:7390345923912073216
Abstract: Prolonged disorders of consciousness (PDoC) present a major challenge for assessment and communication. Motor imagery brain–computer interfaces (MI-BCIs) provide a promising means of detecting residual awareness by enabling modulation of sensorimotor oscillations through imagined movement. This presentation will share findings from a structured multi-phase MI-BCI study involving patients with unresponsive wakefulness syndrome (UWS), minimally conscious state (MCS), and locked-in syndrome (LIS). Across repeated training sessions, patients demonstrated the capacity to modulate sensorimotor rhythms and to respond to closed questions, with extended feedback and practice revealing clearer differentiation of cognitive abilities. These results highlight MI-BCI’s potential as a movement-independent, EEG-based approach to augment diagnostic assessment and deepen understanding of covert cognition. The talk will also present advances in continuous motion trajectory decoding (MTD) BCIs. The presentation will conclude by introducing AI-enabled wearable neurotechnology platforms developed by NeuroCONCISE Ltd that support large-scale data collection and user training, offering a scalable route from laboratory research to real-world impact.
Speaker Biography: Damien Coyle is a Professor of Neurotechnology, a UKRI Turing AI Acceleration Fellow and Director of the Bath Institute for the Augmented Human, University of Bath. His research focuses on developing AI to address challenges associated with translating electrophysiological signals into control signals for brain-computer interface based neurotechnology and trialling neurotechnology on a large scale with patients and end-users including spinal injury, stroke, disorders of consciousness, and post-traumatic stress disorder. He is Founder and CEO of NeuroCONCISE Ltd (www.neuroconcise.co.uk), an award-winning, AI-enabled, wearable neurotechnology company.
The Essex BCI-NE Lab webinars series takes place once per month over Zoom and the webinars are open to all. Speakers are invited to talk about their research for 45-50 minutes followed by Q&A.
Where speakers allow it, we record the talks and make them available to everyone on our YouTube channel. You can watch previous talks at: https://www.youtube.com/@essexbcis
If you don’t want to miss our next webinars, please email Simis (serafeim.perdikis at essex.ac.uk<mailto:amatra at essex.ac.uk>) to ask to be added to our webinars mailing list.
Best wishes,
Simis
Dr Serafeim Perdikis, Associate Professor (Senior Lecturer)
Brain-Computer Interfaces and Neural Engineering Laboratory
School of Computer Science and Electronic Engineering
University of Essex
Wivenhoe Park, Colchester CO4 3SQ
United Kingdom
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