Deep Learning-Based Template Matching Spike Classification for Extracellular Recordings
Deep Learning-Based Template Matching Spike Classification for Extracellular Recordings
About this item
Full title
Author / Creator
Publisher
MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
MDPI AG
Subjects
More information
Scope and Contents
Contents
We propose a deep learning-based spike sorting method for extracellular recordings. For analysis of extracellular single unit activity, the process of detecting and classifying action potentials called “spike sorting” has become essential. This is achieved through distinguishing the morphological differences of the spikes from each neuron, which ar...
Alternative Titles
Full title
Deep Learning-Based Template Matching Spike Classification for Extracellular Recordings
Authors, Artists and Contributors
Author / Creator
Identifiers
Primary Identifiers
Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_8f701d91c93c4666a436ef910cf98322
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_8f701d91c93c4666a436ef910cf98322
Other Identifiers
ISSN
2076-3417
E-ISSN
2076-3417
DOI
10.3390/app10010301
