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Interdisciplinary tutorials in neurosciences (TINS)

Biology Master, ENS

Year : M2

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

Hours : 60 h (3 h lecture, 57 h personal work)

Credits : 6 ECTS

Semester : 1st semester

Number of students : 10

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

Prerequisites for the course : 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.

Assessment/Evaluation : Written report, oral presentation.

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