Summer School "Advanced tools for data analysis in Neuroscience"

Summer school 2022: Information and application to be found here.

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. 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.

Scholarships of 500 euros will be offered to non-Strasbourg students to cover travel and accommodation costs.

Students are encouraged to come with their own dataset.

How to apply:

Application closed

Send your CV, a cover letter and a letter of recommendation to This email address is being protected from spambots. You need JavaScript enabled to view it.

Application deadline: May 15,2021.

Monday

- Concepts and guidance

- Python toolbox

Practicals:

- Beyond acquisition (Filters, Nyquist law...)

Tuesday

- From LFP/EEG to localization, oscillations and coherence

- LFP analysis on Matlab: EEMD, filtering, CSD, wavelet analysis Spike train statistics

Practicals

- Functional Data Analysis, Confidence Set, Point Process Formalism

Wednesday

- Neuronal circuits modelling: microscale (NEST)

- Neuronal circuits modelling: macroscale (Virtual Brain)

Practicals:

- Machine learning for dummies: clustering, classifiers, dimensional reduction, pattern search…

Thursday

- Network tools and functional connectivity analyses: graph theory and beyond, metrics of functional connectivity for different types of signals

- Merging data and models by data assimilation techniques, e.g. Kalman filter

Practicals:

- Choice of tutored project

Friday

Tutored projects and Presentations of projects

Organizers: Demian Battaglia, Romain Goutagny, Axel Hutt, Philippe Isope and Christophe Pouzat, as well as Arvind Kumar (KTH, Sweden) & Samuel Garcia (CNRS, Lyon) who participate in the teaching.

This summer school is funded by Strasbourg university and Neurostra ITI

Location: 

Collège doctoral européen

46 Boulevard de la Victoire

67000 Strasbourg

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.