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Interdisciplinary tutorials in neurosciences (TINS)

Master in Life Science, ENS
Semester : 1 (S1)
Number of students : 10
Duration : from October to January


Boris Barbour, Biology Department, ENS
Vincent Hakim, Physics Department, ENS
Mariano Casado, Biology Department, ENS


A minimum of 60 h personal work, from October to January, ponctuated with several meetings with the supervisors to assess the progress of the project.




Computational Neuroscience, Theoretical Neuroscience, Modeling, Data Analysis in Neurophysiology

Course prerequisites

Students should be motivated by interdisciplinary approaches in Neuroscience and be capable of benefiting from both theoretical and experimental aspects of Neuroscience research. Precise programming requirements may be announced for each topic.

Course objectives and description

Aims : In depth study of a research topic related to neuronal networks, based on modeling, data mining, development of data analysis tools, computational neurophysiology... done under the close supervision of both a theoretician and an experimental researchers.
Themes : Understanding the brain will require the development of effective abstractions and simplifications of its complexity. Research in this field is active at the interface between theoretical and experimental neuroscience.
This module offers insight into such interdisciplinary research in a tutorial setting with active theoretical and experimental neuroscientists.
Organisation : Method : Discussion with mentors, supervised bibliographical analysis (necessary but not sufficient), possible data mining and analysis, and modeling.


Written report (to be produced by early January), oral presentation mid-January.

Teaching team

Boris Barbour (ENS-Biology)
Mariano Casado (ENS-Biology)
Vincent Hakim (ENS-Physics)
Srdjan Ostojic (ENS-Cognitive Sciences)
Jonas Ranft (ENS-Biology)