Interdisciplinary tutorials in neurosciences (TINS)
Master in Life Sciences, ENS – M2
2026-2027 - Semester 1
UNBIO1-074 | TINS - Interdisciplinary tutorials in neurosciences
9 ECTS
Year and Semester : M2 | S1
Where : Biology Department, ENS
Duration : 1st semester
Maximum class size : 10 students
Coordination
Mariano Casado, Biology department, ENS
Boris Barbour, Biology department, ENS
Credits
9 ECTS
Keywords
Neuroscience | Computational Neurophysiology | Modelling | Data Analysis
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. A formal solid ground in Neuroscience is necessary. Programming skills are almost always needed.
Registration :
Students external to the ENS Biology Department can attend and validate the course if the primary instructor has been contacted beforehand and agreed (see contact information below). Following approval, students need to register online at least one week before the course starting date :
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 researcher.
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 : Discussion with mentors, supervised bibliographical analysis (necessary but not sufficient), possible data mining and analysis, and modeling.
Maximum class size : 10 students.
Tutorials happen typically in English.
Hours
A minimum of 60 h personal work, from October to January, punctuated with several meetings with the supervisors to assess the progress of the project.
Assessment
Written report (to be produced by early January), oral presentation mid-January.
Course material
To be provided by mentors.
Teaching team
Primary instructor : Mariano Casado (he/his)
Secondary instructor : Boris Barbour (he/his)
Several expert tutors located in Parisian labs.
Preferred method of contact : email.
Suggested readings in relation with the module content
Each tutor will indicate the specific resources (books, articles, websites, MOOCs) necessary to accomplish his/her specific project.
