How Foundation Models are Reshaping Non-Invasive Brain–Computer Interfaces: A Case for Novel Human Expression and Alignment
Abstract
SYNAPTICON is a research prototype at the intersection of neuro-hacking, non-invasive brain-computer interfaces (BCIs), and foundation models, probing new territories of human expression, neuroaesthetics, and AI alignment. Envisioning a cognitive “Panopticon” where biological and advanced synthetic intelligent systems converge, it enables a pipeline that couples temporal neural dynamics with pre-trained language models and operationalizes them in a closed loop for expression. At its core lies a live “Brain Waves-to-Natural Language-to-Aesthetics” system that translates neural states (i.e. electroencephalography (EEG)) into decoded speech, and then into immersive audiovisual output and content; shaping altered perceptual experiences and inviting audiences to directly engage with the user’s mind. SYNAPTICON provides a reproducible reference for foundation-model-assisted BCIs, suitable for advanced studies of human–machine interaction (HMI). Requests for name changes in the electronic proceedings will be accepted with no questions asked. However name changes may cause bibliographic tracking issues. Authors are asked to consider this carefully and discuss it with their co-authors prior to requesting a name change in the electronic proceedings. Use the "Report an Issue" link to request a name change. Do not remove: This comment is monitored to verify that the site is working properly