Cortical Bionics Research Group

@corticalbionics.bsky.social

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Collaboration between University of Pittsburgh, University of Chicago and Northwestern researchers to develop a brain-computer interface for prosthetic arm and hand control with sensory feedback.

Comparison of movement trajectories without error recognition (blue) and with it (yellow). The yellow trajectories are much more direct.

Example BCI-controlled cursor trajectory, with erroneous movements in red, and pre-error movements in yellow.

The current and former CBRG members who attended the BCI Society Meeting, gathered together in front of a spectacular mountain view.

The screen presented during the object identification task. Participants could "touch" the blank box, then identify which object it is from the silhouettes presented at the bottom.

An image of the test setup. When participants could move the red dots in 2 2D planes to change 4 stimulation parameters to which they were blinded. Then they, or an assistant, could touch the digital object and trigger stimulation with the selected parameters on the electrodes to feel if it matched their expectations of the object.

Figure showing how the above findings improve the utility of sensors on a robotic hand by increasing sensation clarity on the fingers and enabling detection of object softness when grasping.

Figure showing that stimulating two electrodes at once evokes a sensation that approximates the sum of the sensations when each electrode is stimulated independently.

Figure showing that electrodes that record activity when a part of the hand is touched, evoke a sensation in the same area of the hand when stimulated.

A figure from the linked paper, showing where participants feel sensations during electrical stimulation, and that the locations are stable over time.