Publication
Title
Test of spike-sorting algorithms on the basis of simulated network data
Author
Abstract
Results of spike-sorting algorithms are usually compared with recorded signals which themselves underly interpretations, distortions and errors. Our approach is to provide and compare physiological extracellular potential data by a realistic cortical network simulation. For this purpose, we utilize the neural simulator GENESIS and simulate a region of rat hippocampus containing 90 cells, We are able to "record" simulated extracellular potentials from "virtual electrodes" and produce test data closely resembling multisite neuronal recordings. Our realisitic, artificial data are complex and almost natural in appearance. however, current spike detection schemes appear unable to reliably detect all spikes produced. (C) 2002 Elsevier Science B.V. All rights reserved.
Language
English
Source (journal)
Neurocomputing: an international journal. - Amsterdam
Source (book)
10th Computational Neuroscience Meeting (CSN 01), JUL, 2001, MONTEREY, CALIFORNIA
Publication
Amsterdam : 2002
ISSN
0925-2312
Volume/pages
44(2002), p. 1119-1126
ISI
000176839200162
Full text (Publisher's DOI)
Full text (publisher's version - intranet only)
UAntwerpen
Faculty/Department
Research group
Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
Record
Identification
Creation 03.01.2013
Last edited 05.11.2017
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