March 13 to March 17: 1st Doctoral course: Structural learning by the brain
C. Vargas, A. Duarté, M. Svarc
Content:
- Learning stochastic sequences of events by the brain
- sequences of random objects driven by context tree models
- statistical model selection for sequences of random objects driven by context tree models
- the projective method
- evoked potential in EEG data
- retrieving the structure of probabilistic sequences from EEG data
- clustering EEG data by law
Bibliography:
- Structural learning by the brain: Duarté et al. (2019), Hernandez et al. (2021)
- Selected papers of the special issue "New frontiers for statistical learning in the cognitive sciences" compiled and edited by Blair C. Armstrong, Ram Frost and Morten H. Christiansen, Published in Phil.Trans.R.Soc.B, Volume 372 Issue 1711, 2017
Daily schedule:
- 9:30-10:00 Coffee break
- 10:00-12:00 Lecture
- 15:00-16:00 Coffee and informal discussions
- 16:00-17:30 Work in progress seminars
