SPySort: Neuronal Spike Sorting with Python

Abstract : Extracellular recordings with multi-electrode arrays is one of the basic tools of contemporary neuroscience. These recordings are mostly used to monitor the activities, understood as sequences of emitted action potentials, of many individual neurons. But the raw data produced by extracellular recordings are most commonly a mixture of activities from several neurons. In order to get the activities of the individual contributing neurons, a pre-processing step called spike sorting is required. We present here a pure Python implementation of a well tested spike sorting procedure. The latter was designed in a modular way in order to favour a smooth transition from an interactive sorting, for instance with IPython, to an automatic one. Surprisingly enough—or sadly enough, depending on one's view point—, recoding our now 15 years old procedure into Python was the occasion of major methodological improvements.
Type de document :
Communication dans un congrès
Pierre de Buyl; Nelle Varoquaux. 7th European Conference on Python in Science (EuroSciPy 2014), Aug 2014, Cambridge, United Kingdom. pp.27-34, 2014, Proceedings of the 7th European Conference on Python in Science (EuroSciPy 2014). <http://arxiv.org/html/1412.7030v1>
Liste complète des métadonnées


https://hal.archives-ouvertes.fr/hal-01111937
Contributeur : Christophe Pouzat <>
Soumis le : dimanche 1 février 2015 - 17:53:39
Dernière modification le : jeudi 20 juillet 2017 - 09:27:04

Identifiants

  • HAL Id : hal-01111937, version 1
  • ARXIV : 1412.6383

Citation

Christophe Pouzat, Georgios Is Detorakis. SPySort: Neuronal Spike Sorting with Python. Pierre de Buyl; Nelle Varoquaux. 7th European Conference on Python in Science (EuroSciPy 2014), Aug 2014, Cambridge, United Kingdom. pp.27-34, 2014, Proceedings of the 7th European Conference on Python in Science (EuroSciPy 2014). <http://arxiv.org/html/1412.7030v1>. <hal-01111937>

Partager

Métriques

Consultations de la notice

132