We are happy to announce PRNI 2020, a one-week virtual summer school aimed at training students and early-stage researchers in theoretical and practical aspects of using machine learning and other modern data analysis methods in cognitive neuroscience. The summer school consists of talks by internationally renowned experts complemented by interactive Python tutorials. Students will receive help and feedback from teaching assistants and will have the opportunity to get to know other researchers online.
Dates: 14-18 September 2020
The registration deadline is the 31st of August, please find more details here: https://prni2020.univie.ac.at/
Main Topics
- Machine learning
- Deep learning
- Bayesian modeling
- Connectivity and causality
- fMRI
- EEG/MEG
- Calcium imaging
Keynote Speakers
- Peter Dayan (MPI Biological Cybernetics/Tubingen)
- Katharina Dobs (MIT)
- Romy Lorenz (Cambridge)
Teaching Faculty (A-Z)
- Sebastian Tschiatschek (Uni. Vienna)
- Tonio Ball (Uni. Freiburg)
- Máté Lengyel (Cambridge/CEU)
- Georg Langs (Med. Uni. Wien)
- Alexandre Gramfort (INRIA)
- Moritz Grosse-Wentrup (Uni. Vienna)
- Manuel Zimmer (IMP Vienna)
The PRNI 2020 is organized by the Research Group Neuroinformatics and the Vienna Cognitive Science Hub, University of Vienna, Austria
