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Theses

Functional interactions in basal ganglia studied by multiple single unit recordings sorted by an unsupervised template matching algorithm

Abstract : The present thesis is devoted to the development of a new unsupervised spike sorting method and its application to the investigation of neuronal activity. The development of new approaches to spike sorting is crusial both for the intrasurgical electrophusiology and for the efficience of real time electrophysiological experiences.
The method presented in the first part of this thesis is a novel approach to the problem which describes action potential by means of differential equations with perturbation characterizing the internal variation of their forms. The unsupervised spike sorting software implemented on the basis of the presented method comprises an automatic algorithm of estimation of class centers and their radiuses.
The second part presents the application of the method to the investigation of neuronal activity in basal ganglia. The data for the analyses were acquired in the surgical room of the department of neurosurgery of the University Hospital, Grenoble, and represent the STN (950 recordings), the GPI (183) and the SNR (105) of 13 Parkinsonian patients and 2 dystonia patients. The analyses are aimed to define typical forms of action potential and to reveal a parallel between the nature of neural activity and the gravity of the Parkinsonian disease symptoms.
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https://tel.archives-ouvertes.fr/tel-00115720
Contributor : Olga Chibirova <>
Submitted on : Wednesday, November 22, 2006 - 5:23:56 PM
Last modification on : Friday, November 6, 2020 - 4:12:22 AM
Long-term archiving on: : Thursday, September 20, 2012 - 2:55:16 PM

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  • HAL Id : tel-00115720, version 1

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Olga Chibirova. Functional interactions in basal ganglia studied by multiple single unit recordings sorted by an unsupervised template matching algorithm. Neurons and Cognition [q-bio.NC]. Université Joseph-Fourier - Grenoble I, 2006. English. ⟨tel-00115720⟩

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