Qlife Quantitative Biology winter school « Learning and plasticity in neuronal networks »
Download here tentative planning
Master in Life Science, ENS
BIO-M2-Q11-A | Qlife Quantitative Biology winter school « Learning and plasticity in neuronal networks »
Year and Semester : M2 | S2
Where : ENS, Biology department
Duration : 1 week (March 25 - 29, 2024)
ECTS : 3
Maximum class size : 25 students
Coordination
Patrick Charnay, Biology Department, ENS
Chairman of the scientific committee : Laurent Bourdieu, Biology Department, ENS
Keywords
Neuronal networks | Memory | Brain plasticity | Brain-machines | Optopharmacology | Neural decoding | Neuronal receptor |
Course prerequisites
Basic experience in file manipulation under Unix/Linux and coding ability in Python or R. Attendance is competitive (25 participants) and open to M2 and PhD students, postdocs, engineers and junior scientists with backgrounds in life science, cognitive sciences, physics computer science and mathematics.
Course objectives and description
Aims and themes : The neural mechanisms underlying learning and memory can now be studied in behaving animals from the molecular and synaptic scales up to the scale of neural networks.
These studies rely on numerous technological innovations, such as the ability to record the activity of large populations of neurons, to interfere with brain activity in genetically-defi¬ned neuronal ensembles and to train rodents to perform complex behavioural tasks.
At the same time, data-driven neural network models and machine learning algorithms have completely transformed our ability to analyse large neuronal population recordings, behavioural data and learning processes.
The school aims to familiarize participants with the latest concepts and technical developments, as well as with current issues and practical know-how, in the recording and manipulation of neuronal activity, in the design and analysis of rodent behavioural training and in the analysis and modelling of learning in neuronal networks.
Organisation : Each day will include two introductory lectures in the morning, followed by digital practicals run by experts in the afternoon (every day, the student has to choose between two practicals).
The evenings will include inspirational seminars from prestigious scientists and poster presentations by the students.
Assessment of M2 students
After the course, the student who requires a mark writes reports on two of the digital workshops, which will be assessed by the coordinators of the practicals.
Application Deadline
January 28th, 2024
Registration fees
150 € (fees cover food and lodging from Monday morning to Friday afternoon. Some travel grants will be available).
Application procedure
Registration link
In addition, provide a CV, a 1 page motivation letter (including justification for travel grant if requested) and a supporting letter from a supervisor with “Qlife Neuronal Networks Winter School 2024_LASTNAME” as subject header to Aida.Fakhr chez curie.fr
