Summer school: 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.

How to apply:

1 – Send an email to philippe.isope@inci-cnrs.unistra.fr to express your intention to apply

2 – When ready, send your CV and a letter of recommendation to philippe.isope@inci-cnrs.unistra.fr

Full application deadline: May 15,2022.

 

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)

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Informations pratiques

Ouverture

9- 6 PM

Lieu

Université de Strasbourg, France

Public cible

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

Moyens de paiement

Free registration