Decoding speech from spike-based neural population recordings in secondary auditory cortex of non-human primates.

ABSTRACT: Direct electronic communication with sensory areas of the neocortex is a challenging ambition for brain-computer interfaces. Here, we report the first successful neural decoding of English words with high intelligibility from intracortical spike-based neural population activity recorded from the secondary auditory cortex of macaques. We acquired 96-channel full-broadband population recordings using intracortical microelectrode arrays in the rostral and caudal parabelt regions of the superior temporal gyrus (STG). We leveraged a new neural processing toolkit to investigate the choice of decoding algorithm, neural preprocessing, audio representation, channel count, and array location on neural decoding performance. The presented spike-based machine learning neural decoding approach may furth

SUBMITTER: Heelan C 

PROVIDER: S-EPMC6906475 | biostudies-literature | 2019

REPOSITORIES: biostudies-literature