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Une approche Monte Carlo par Chaînes de Markov pour la classification des potentiels d'action.
Application à l'étude des corrélations d'activité des cellules de Purkinje.

Abstract : To be fully exploitable extracellular multi-unit data have to be sorted out into several single neuron spike trains: this particular data processing is called "spike-sorting". This work is a contribution to the development and the carrying out of an automatic spike-sorting method implementing a Markov Chain Monte Carlo (MCMC) method. The proposed method enables the experimentalist to take into account the occurrence times of spikes, in addition to the information provided by their waveforms, to perform spike-sorting. This use of temporal information makes it possible to automatically identify neurons with non-stationary spike waveforms. It also improves the separation of neurons whose spike waveforms are similar. This methodological work led to the release of a free software documented by its user guide.

This spike-sorting method has been experimentally validated on populations of Purkinje cells (PCs) in rat cerebellar slices. Besides, the spike train analysis of these multiple cells data did not reveal any significant temporal correlations between spontaneous PC spike trains, in spite of common inhibition of PCs by molecular layer interneurons and direct inhibition PC to PC. Simulations showed that the influence of these inhibitions onto temporal relations between spike trains is too weak to be detected with our correlation analysis. Codes written to analyse spike trains are also released as a second software.
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https://tel.archives-ouvertes.fr/tel-00011123
Contributor : Matthieu Delescluse <>
Submitted on : Wednesday, November 30, 2005 - 8:41:54 AM
Last modification on : Wednesday, December 9, 2020 - 3:09:37 PM
Long-term archiving on: : Friday, April 2, 2010 - 10:50:52 PM

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  • HAL Id : tel-00011123, version 1

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Matthieu Delescluse. Une approche Monte Carlo par Chaînes de Markov pour la classification des potentiels d'action.
Application à l'étude des corrélations d'activité des cellules de Purkinje.. Neurosciences [q-bio.NC]. Université Pierre et Marie Curie - Paris VI, 2005. Français. ⟨tel-00011123⟩

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