Title
Test of spike-sorting algorithms on the basis of simulated network data Test of spike-sorting algorithms on the basis of simulated network data
Author
Faculty/Department
Faculty of Pharmaceutical, Biomedical and Veterinary Sciences . Biomedical Sciences
Publication type
article
Publication
Amsterdam ,
Subject
Computer. Automation
Source (journal)
Neurocomputing: an international journal. - Amsterdam
Source (book)
10th Computational Neuroscience Meeting (CSN 01), JUL, 2001, MONTEREY, CALIFORNIA
Volume/pages
44(2002) , p. 1119-1126
ISSN
0925-2312
ISI
000176839200162
Carrier
E
Target language
English (eng)
Full text (Publishers DOI)
Affiliation
University of Antwerp
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.
E-info
https://repository.uantwerpen.be/docman/iruaauth/3b6da3/2ef5995.pdf
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