Ideomotor theory conceptualizes voluntary action as driven by internally represented sensory outcomes. This underused framework offers a principled basis for next-generation BCIs that align closely with the brain’s natural intentional and action-planning architecture, the authors argue. They suggest a more intuitive, generalizable and scalable path by reorienting BCIs around the what-for of action, meaning user goals and anticipated effects.
The shift is timely and feasible, the authors say, enabled by advances in neural recording and artificial intelligence-based decoding of sensory representations, and it may help resolve challenges of usability and generalizability in BCI design. The piece is an opinion article and does not present an implementation or experimental data.