Data from: Gesture encoding in human left precentral gyrus neuronal ensembles

Understanding the cortical activity patterns driving dexterous upper limb
motion has the potential to benefit a broad clinical population living
with limited mobility through the development of novel brain-computer
interface (BCI) technology. The present study examines the activity of
ensembles of motor cortical neurons recorded using microelectrode arrays
in the dominant hemisphere of two BrainGate clinical trial participants
with cervical spinal cord injury as they attempted to perform a set of 48
different hand gestures. Although each participant displayed a unique
organization of their respective neural latent spaces, it was possible to
achieve classification accuracies of ~70% for all 48 gestures (and ~90%
for sets of 10). Our results show that single-unit ensemble activity
recorded in a single hemisphere of human precentral gyrus has the
potential to generate a wide range of gesture-related signals across both
hands, providing an intuitive and diverse set of potential command signals
for intracortical BCI use.