Spike detection approaches for noisy neuronal data: assessment and comparison

Azami, H and Sanei, S ORCID logoORCID: https://orcid.org/0000-0002-3437-2801, 2014. Spike detection approaches for noisy neuronal data: assessment and comparison. Neurocomputing, 133, pp. 491-506. ISSN 0925-2312

Full text not available from this repository.
Item Type: Journal article
Publication Title: Neurocomputing
Creators: Azami, H. and Sanei, S.
Publisher: Elsevier B.V.
Date: 10 June 2014
Volume: 133
ISSN: 0925-2312
Identifiers:
Number
Type
10.1016/j.neucom.2013.12.006
DOI
S0925231214000022
Publisher Item Identifier
Divisions: Schools > School of Science and Technology
Record created by: Jill Tomkinson
Date Added: 15 Feb 2018 09:38
Last Modified: 15 Feb 2018 09:38
URI: https://irep.ntu.ac.uk/id/eprint/32716

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