Identifying Number of Neurons in Extracellular Recording

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F09%3A00155871" target="_blank" >RIV/68407700:21230/09:00155871 - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Identifying Number of Neurons in Extracellular Recording
Original language description
One of the most difficult aspects of spike sorting is choosing the number of neurons in extracellular recording. The paper proposes a methodology for estimating the number of neurons based on the Gaussian mixture model. The following criteria have been examined: Bayesian selection method, Akaikes information criteria, minimum description length, minimum message length, fuzzy hyper volume, evidence density and partition coefficient. In order to validate the procedure, an experimental comparative study was carried out, comparing the proposed methodology with three spike sorting algorithms. The proposed methodology has an advantage of setting the minimum number of parameters and is very robust to background noise. We conclude that only fuzzy hyper volumeand evidence density criteria are able to identify the correct number of neurons across different noise levels.
Czech name
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Czech description
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Project
<a href="/en/project/GA309%2F09%2F1145" target="_blank" >GA309/09/1145: Mechanisms of deep brain stimulation: Role of the subthalamus in motor, visual and affective processing</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year
2009
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of the 4th International IEEE EMBS Conference on Neural Engineering
ISBN
978-1-4244-2073-5
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
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Publisher name
IEEE
Place of publication
Piscataway
Event location
Antalya
Event date
Apr 29, 2009
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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