As a part of the XII Summer School in Statistics UPC-UB we are organizing, together with Matthieu Gilson, Adrià Tauste and Gorka Zamora, a summer course to introduce stats master students (or anybody interested) to data analysis in neuroscience.
The course will be held from July 2-6 (3 hours each day). The aim is to understand standard concepts and methods used to study and interpret brain connectivity (e.g., Granger causality, graph theory, machine learning) with a focus on their statistical aspects. During the course, students will use real data (whole-brain functional and structural MRI) and improve their programming skills (Python with numpy, scipy and scikit-learn) to implement such methods and discuss their findings.
Specific objectives:
- Familiarize with the use of generative models for time series, with graph theory and supervised learning algorithms.
- Understand neuroscience data.
- Use tools for brain connectivity analysis.
Transversal objectives:
- Improve Python programming skills.
- Learn to compare results from different types of analyses about the same question.
- Present the results of statistical analysis in a clear and appealing format.
Evaluation:
The students will be evaluated via a hands-on project developed during the course in small groups (up to three participants). They will be asked to summarize their results and present them in front of the whole class.
Prerequisites:
Students are expected to have basic knowledge in applied maths (linear algebra and calculus), as well as some programming skills. Knowledge of Python is recommended, but we will provide a small set of exercises to level up before the course for those that are familiar with other programming languages.
References:
- Lütkepohl, H. (2005). New introduction to multiple time series analysis. Springer Science & Business Media.
- Murphy, K. P. (2012). Machine Learning: a Probabilistic Perspective. MIT Press.
- Wasseerman, S. & Faust, K. (1999). Social network analysis: Methods and Applications. Cambridge University Press.
More information: https://mesioupcub.masters.upc.edu/en/xii-summer-school-2018/summer-school-in-statistics-upc-ub-2018
Date: July 2-6 2018
Participants: up to 25
Contact: Prof. Marta Pérez-Casany (direccio.summerschool.fme@upc.edu)
Venue: Universitat Politècnica de Catalunya (Barcelona)