Advanced tools for data analysis in Neuroscience - 2022

Research discoveries are increasingly dependent on the development of new tools and technologies, as well as on the ability to process, manage and analyze the large amounts of data collected with these tools.

In this summer school, we will focus on several aspects of data preparation and analysis, as well as on the use of simulation and modeling tools capable of generating predictions. These tools will be applied to different data acquisition techniques such as electrophysiological recordings (e.g. EEG, intra or extracellular recordings) or image series from brain imaging (e.g. MRI).

Target audience:

Master and PhD students from the University of Strasbourg and other French and foreign universities are welcome to apply.

Priority will be given to students enrolled in a basic or medical neuroscience program, but students from other specialties will be able to participate as long as places are available.

There is no registration fee.

During the school (Sep. 5-10th), accomodation (but not travel) during the school (but not pre-school) will be offered to non-Strasbourg students. Accomodation expenses during the pre-school and travel for the entire event are to be borne with own fundings.

Students are encouraged to come with their own dataset.

The participants to the school have now been selected.

Applications are closed.

Lecturers involved:

Demian Battaglia (LNCA,CNRS,Université de Strasbourg)
Samuel Garcia (CRNL, CNRS, Université de Lyon)
Romain Goutagny (LNCA,CNRS,Université de Strasbourg)
Axel Hutt (MIMESIS,INRIA, Université de Strasbourg)
Philippe Isope (INCI, CNRS,Université de Strasbourg)
Arvind Kumar (KTH, Stockholm, Sweden)
Christophe Pouzat (IRMA, CNRS, Université de Strasbourg)

PRE-SCHOOL

Thursday-Saturday Sep.1-3rd

Python introduction

SCHOOL

Monday 5th

Session 1: Fundamentals of spectral analysis

Session 2: Oscillations analyses using MATLAB

Tuesday 6^th

Session 3-4: Why modelling ?

Session 5: Neuronal circuits modelling: microscale (NEST)

Session 6: Neuronal circuits modelling: macroscale (Virtual Brain)

Wednesday 7th

Session 7: Machine learning for dummies

Session 8: Network tools, functional connectivity analyses graph theory

Session 9: Machine learning for image analysis (fMRI, Calcium)

Thursday 8th

Session 10: Spike train statistics

Session 11: Spike sorting

Project selection and kick-off

Friday 9th

Project

Saturday 10th

Project and fun

Location: Strasbourg, France

Neurex workshops are part of the cycle B5 of the University of Basel. They allow students to gain Credit Points from attending workshops/meetings.

This specific workshop will give rise to the attribution of 1,5 CP.

Important: Full rules & how to proceed available here.