March 1 to March 3: Scratch courses
10:00-12:00: Neurobiology for mathematicians by C. Pouzat with F. Najman, P.Passos, B. Ramalho
Content:
- Primer on base neural physiology for mathematicians
- von Helmholtz's conjecture of the predictive brain
- Intrinsic variability of neurobiological data and the need of probabilistic models
14:00-16:00: Stochastics for neurobiologists by A. Duarté and E. Löcherbach
Content:
- Stochastic chains in discrete time: Markov chains and variable length models
- An algorithmic approach to continuous time processes
- A simple model for spiking neurons and first steps towards statistical inference
Bibliography:
- Galves, A., Löcherbach, E. and Pouzat, C., Probabilistic spiking neuronal nets-Data, Models and Theorems.
- Hernandes, N., Duarte, A., Ost, G., Fraiman, R., Galves, A., and Vargas, C.D., Retrieving the structure of probabilistic sequences of auditory stimuli from EEG data
- Luo, L., Principles of Neurobiology. Garland Science, 2021
16:00-18:00: Informal discussions (with coffee and cake) and project proposals / discussions with younger researchers
