SpikeDeep-classifier: a deep-learning based fully automatic offline spike sorting algorithm

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...

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Vydané v:	Journal of neural engineering Ročník 18; číslo 1
Hlavní autori:	Saif-Ur-Rehman, Muhammad, Ali, Omair, Dyck, Susanne, Lienkämper, Robin, Metzler, Marita, Parpaley, Yaroslav, Wellmer, Jörg, Liu, Charles, Lee, Brian, Kellis, Spencer, Andersen, Richard, Iossifidis, Ioannis, Glasmachers, Tobias, Klaes, Christian
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	England 05.02.2021
Predmet:	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
ISSN:	1741-2552, 1741-2552
On-line prístup:	Zistit podrobnosti o prístupe
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