A series of lectures on spike sorting, that were provided in the context of NeuroMat's training "Spike sorting: What is it? Why do we need it? Where does it come from? How is it done? How to interpret it?,". Lecturer: Prof. Christophe Pouzat, a CNRS researcher of the Applied Maths Laboratory of the Paris-Descartes University and a specialist in spike sorting.
A comment from Prof. Pouzat about the second day of presentation:
The detailed example that will keep us busy today is found at the bottom of the following web page: http://xtof.perso.math.cnrs.fr/sorting.html. We will go through the analysis of the “locust data set” using Python (http://xtof.perso.math.cnrs.fr/locust_sorting_python.html) but an R version of the same analysis is also available (http://xtof.perso.math.cnrs.fr/locust.html) and the Python analysis in PDF format with a few pages of introduction can be downloaded at: http://xtof.perso.math.cnrs.fr/pdf/PouzatDetorakis2014.pdf.
The idea of “reproducible research” implemented with org-mode (http://orgmode.org/), a “mode” of the emacs editor (http://www.gnu.org/software/emacs/emacs.html) will be discussed, since it was used to create the tutorial we will be going through today. The chapters of a recent book on reproducible research can be freely (and legally) downloaded from: https://osf.io/s9tya/; the paper describing org-mode functionalities for reproducible research can be found at: http://www.jstatsoft.org/v46/i03; my own “propaganda” on the subject is available at: http://hal.archives-ouvertes.fr/hal-00591455/fr/.
A compressed file containing a matlab version to the training on spike sorting by Prof. Pouzat is available here.
A written presentation that informs the third section on spike sorting by Prof. Pouzat is available here.
Additional material on spike sorting is available here.