christophe-pouzat Goto Github PK
Name: Christophe Pouzat
Type: User
Company: Strasbourg University and CNRS
Location: Strasbourg, France
Name: Christophe Pouzat
Type: User
Company: Strasbourg University and CNRS
Location: Strasbourg, France
Analyse des séquences de potentiels d'action / Spike train analysis
A cffi based Common Lisp binding to Gnu libplot
Matériel lié à un cours sur le tri des potentiels d'action
Material for the ENP course 2015
Course material for the ENP 2017 and 2018 lectures
Les fichiers pour le second cours d'étude de cas sur les transitoires calciques dans les neurones
R code for regenerating the figures of "Extracellular data analysis" in book Brain-Computer Interfaces
Some C code and a description of its use to simulate the Galves-Locherbach model
Supplementary material for Haeger, Pouzat, Luecken, N'Diaye, Elger, Kennerknecht, Axmacher and Dinkelacker (2021) manuscript: " Face Processing in Developmental Prosopagnosia: Altered Neural Representations in the Fusiform Face Area".
Data codes and analysis of the added buffer approach with beta-escin perforated patch
Material associated to C Pouzat's lectures at LASCON 2016
Spike sorting codes and sorting of publicly available data sets
A reproducible document with an extended version of SPySort: Neuronal Spike Sorting with Python Proceedings of the 7th European Conference on Python in Science (EuroSciPy 2014), edited by Pierre de Buyl and Nelle Varoquaux, pp. 27–34.
Communucation présentée au symposium « Recherche Reproductible » au CANUM2016
An example of spike sorting of a publicly available big data set with Python.
Org-mode file and non reproducible figures of the presentation: "Nonparametric analysis of simultaneously recorded spike trains considered as a realization of a multivariate point process".
Org-mode file of the course: "Fluorescence Imaging Analysis: The Case of Calcium Transients" given at the ENP Summer School in July 2013
Source file of the talk "Peri-Stimulus Time Histograms Estimation Through Poisson Regression Without Generalized Linear Models" given at the mathstatneuron workshop, Copenhaguen 2014
Tris Des Clous (spike sorting pour non francophone)
R and RR course material for the YRLS 2017 meeting
Analysis of the extracellular recordings from the locust olfactory pathway available on zenodo (https://zenodo.org/record/21589)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.