Intra-day signal instabilities affect decoding performance in an intracortical neural interface system.

ABSTRACT:

Objective

Motor neural interface systems (NIS) aim to convert neural signals into motor prosthetic or assistive device control, allowing people with paralysis to regain movement or control over their immediate environment. Effector or prosthetic control can degrade if the relationship between recorded neural signals and intended motor behavior changes. Therefore, characterizing both biological and technological sources of signal variability is important for a reliable NIS.

Approach

To address the frequency and causes of neural signal variability in a spike-based NIS, we analyzed within-day fluctuations in spiking activity and action potential amplitude recorded with silicon microelectrode arrays implanted in the motor cortex of three people with tetraplegia (BrainGate pilot

SUBMITTER: Perge JA 

PROVIDER: S-EPMC3693851 | biostudies-literature | 2013 Jun

REPOSITORIES: biostudies-literature