Christophe Pouzat

Table of Contents

45, rue des Saints Pères
75270 Paris Cedex 06
tel: +33176530382

Cette page en français.



Having a background in experimental neurophysiology, I mainly work on the analysis of data produced in this field. This work can be split into three broad categories – with associated keywords linking the task to specific statistical methodologies :

  • Spike sorting – dimension-reduction, clustering, classification, Gaussian mixture models, EM algorithm, MCMC. All that is now explained in a short film on YouTube.
  • Spike train analysis – point process / counting process, conditional intensity estimation, nonparametric estimation, smoothing spline, goodness of fit tests, Donsker theorem.
  • Calcium imaging – Poisson regression, variance stabilization, parametric / nonparametric models, image segmentation.

In every project I try to implement what is now commonly called the reproducible research paradigm – that I prefer to call the reproducible data analysis paradigm. I am not a developer of the tools making the implementation of the paradigm possible but a daily user of them.


  • Within Paris-Descartes University I'm collaborating with:
    • Yves Rozenholc on the development of nonparametric methods for the analysis of fluorescence calcium measurements.
    • Avner Bar-Hen on the development of goodness of fit tests for counting process models.
  • In the rest of the World I'm collaborating with:

Research animation



My five latest publications:

  • Stephen Eglen, Ben Marwick, Yaroslav Halchenko, Michael Hanke, Shoaib Sufi, Padraig Gleeson, R Angus Silver, Andrew Davison, Linda Lanyon, Mathew Abrams, Thomas Wachtler, David J Willshaw, Christophe Pouzat, Jean-Baptiste Poline (2017) Toward standard practices for sharing computer code and programs in neuroscience Nature Neuroscience 20: 770-773 (web, cover piece by Stephen Eglen).
  • Christophe Pouzat (2016) Analysis of Extracellular Recordings in Brain-Computer Interfaces 1: Methods and Perspectives, edited by Maureen Clerc, Laurent Bougrain and Fabien Lotte, iSTE/Wiley. The code generating the figure is available on GitHub.
  • Christophe Pouzat and Patricia Reynaud-Bouret (2016) Editorial for the special issue on Statistics and Neurosciences Journal de la Société Française de Statistique 157(1): 1-2. The pdf is available.
  • Christophe Pouzat, Andrew Davison and Konrad Hinsen (2015) La recherche reproductible : une communication scientifique explicite Statistique et Société (in French) 3(1): 35-38. The pdf and some additional marterial are available.
  • Christophe Pouzat and Georgios Is Detorakis (2014) SPySort: Neuronal Spike Sorting with Python Proceedings of the 7th European Conference on Python in Science (EuroSciPy 2014) (web site), edited by Pierre de Buyl and Nelle Varoquaux, pp. 27–34 (arXiv:1412.6383). A "detailed" version hal-01111654v1 with all the codes is available, as well as its org-mode source file both on GitHub and on zenodo (doi: 10.5281/zenodo.15070).


Pre-prints & reports


Recent talks:



The datasets used in my publications are available in HDF5 format from zenodo. You are welcome to do what you want with them–including publishing with them without having to "invite" me to sign your publication–just cite your source (the DOI are given bellow):


This web site was edited with emacs + Org. The css used comes from the one of Eric Schulte.

Author: Christophe Pouzat

Created: 2017-06-20 mar. 09:24