Feedback control policies employed by people using intracortical brain-computer interfaces.

ABSTRACT:

Objective

When using an intracortical BCI (iBCI), users modulate their neural population activity to move an effector towards a target, stop accurately, and correct for movement errors. We call the rules that govern this modulation a 'feedback control policy'. A better understanding of these policies may inform the design of higher-performing neural decoders.

Approach

We studied how three participants in the BrainGate2 pilot clinical trial used an iBCI to control a cursor in a 2D target acquisition task. Participants used a velocity decoder with exponential smoothing dynamics. Through offline analyses, we characterized the users' feedback control policies by modeling their neural activity as a function of cursor state and target position. We also tested whether users could a

SUBMITTER: Willett FR 

PROVIDER: S-EPMC5239755 | biostudies-literature | 2017 Feb

REPOSITORIES: biostudies-literature