Spike detection and sorting with deep learning.
Journal:
Journal of neural engineering
Published Date:
Jan 24, 2020
Abstract
OBJECTIVE: The extraction and identification of single-unit activities in intracortically recorded electric signals have a key role in basic neuroscience, but also in applied fields, like in the development of high-accuracy brain-computer interfaces. The purpose of this paper is to present our current results on the detection, classification and prediction of neural activities based on multichannel action potential recordings.