Stochastic models in neurocognition and their statistical inference
- Unit Coordinator: Patricia Reynaud and Etienne Tanré
- ECTS Credits: 6
- Semester: 1
- Year: 2
- Campus: University of Côte d'Azur
- Language: English
- Delivery: In-class
- Aims:
This course aims at providing a deep understanding of the main stochastic models used in neurocognition (Markov Chains, Integrate and Fire, point processes) and addressed (at least for some of them) in the Stochastic Calculus course and to study their mathematical properties.
The pros and cons of each of them is discussed, especially in terms of the modeling and the statistical inference of real data.
This course is taught by a teaching staff member of the Master Programme Mod4NeuCog at UCA
- Content:
• Stochastic models in neurocognition, statistical inference
• Statistical inference - Pre-requisites:
Statistics
