Journal article
Spike sorting the other way
Neurocomputing (Amsterdam), Vol.52, pp.741-745
2003
Handle:
https://hdl.handle.net/2376/116961
Abstract
The problem of identifying neural activity from extracellular recordings is still with us. In recent years there have been a lot of improvements in clustering and identification over the first simple techniques. However, the manner in which data samples are selected as putative spike candidates has remained almost unchanged. This part of data processing still remains a largely heuristic procedure. In this work we offer a more quantitative approach to identifying putative spike shapes, which then serve as inputs to clustering methods.
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Details
- Title
- Spike sorting the other way
- Creators
- Alexander G Dimitrov - Center for Computational Biology, Montana State University, 1 Lewis Hall, Bozeman MT 59717-3505, USA
- Publication Details
- Neurocomputing (Amsterdam), Vol.52, pp.741-745
- Academic Unit
- Mathematics and Statistics, Department of
- Publisher
- Elsevier B.V
- Identifiers
- 99900548451501842
- Language
- English
- Resource Type
- Journal article