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Towards an implantable brain-machine interface based on epicortical field potentials

Lookup NU author(s): Dr Tobias Pistohl


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Today, a major challenge in neuro-engineering is to develop a brain-machine interface (BMI) suitable to restore communication and motor control in paralyzed patients. One fundamental, unresolved question is which neuronal signal type should be recorded and decoded for such purposes. Here we review work on neuronal population activity, i.e. the ensemble activity of local groups of neurons, as a control signal for BMIs. Further, we propose a BMI approach based on population activity recorded directly from the human cortical surface. Using a finger movement task, we evaluate movement related changes in epicortical potentials across a broad frequency range and we show that the side of index finger flexions can be inferred from primary motor cortex population activity with up to 100 % accuracy from single trial data.

Publication metadata

Author(s): Ball T, Nawrot MP, Pistohl T, Aertsen A, Schulze-Bonhage A, Mehring C

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Biomedical Engineering (Biomedizinische Technik)

Year of Conference: 2004

Pages: 756-759

ISSN: 1862-278X

Publisher: Walter de Gruyter GmbH & Co. KG