SpikeDeep-Classifier: A deep-learning based fully automatic offline spike sorting algorithm

• Published in: Journal of neural engineering Vol. 18; no. 1
• Main Authors: Saif-ur-Rehman, Muhammad, Ali, Omair, Dyck, Susanne, Lienkämper, Robin, Metzler, Marita, Parpaley, Yaroslav, Wellmer, Jörg, Liu, Charles, Lee, Brian, Kellis, Spencer, Andersen, Richard A, Iossifidis, Ioannis, Glasmachers, Tobias, Klaes, Christian
• Format: Journal Article
• Language: English
• Published: England 05.02.2021
• Subjects: Action Potentials - physiology; Algorithms; Animals; Deep Learning; Electrodes, Implanted; Humans; Neurons - physiology; Signal Processing, Computer-Assisted; deep-learning; tunable hyperparameters; automatic spike sorting; supervised learning; unsupervised learning

Advancements in electrode design have resulted in micro-electrode arrays with hundreds of channels for single cell recordings. In the resulting electrophysiological recordings, each implanted electrode can record spike activity (SA) of one or more neurons along with background activity (BA). The aim...