Neuroinformatics Group
We develop new methods, based on machine learning and statistical signal processing, to solve particular questions in neuroinformatics. Our current research topics include the following:
- Robust independent component analysis,
- Independent subspaces in fMRI,
- From elements to networks of neuronal activity,
- Multiple Kernel learning,
- Phase synchrony as a neuronal communication mechanism,
- Single trial event related EEG/MEG,
- Tissue segmentation in structural MRI,
- Document mining in neuroscience publications.
Personnel
Current
- D.Sc. (Tech), Docent Ricardo Vigário (group leader)
- Eng. Miguel Borges de Almeida
- Eng. Nicolau Gonçalves
- Elina Karp
Alumni
- PhD Mariana Almeida
- PhD. Sergey Borisov
- M.Sc. (Tech) Hugo Gävert
- Leena Hallivuori
- Anna Mannila
- M.Sc. (Tech) Astrid Pietilä
- M.Sc. (Tech) Jayaprakash Rajasekha
- D.Sc. (Tech) Nima Reyhani
- M.Sc. (Tech) Ulrike Scharfenberger
- M.Sc. (Tech) Jan-Hendrik Schleimer
- M.Sc. (Tech) Jyri Soppela
- D.Sc. (Tech) Jaakko Särelä
- M.Sc. (Tech) Sampo Viiperi
- D.Sc. (Tech) Jarkko Ylipaavalniemi
Teaching
Meetings and Journal club
The group meets every Friday, between 13:15 and 15:00, in room A346. Alternatingly, we discuss issues dealing with ongoing research in the group, as well as, active review of current publications in the interdisciplinary field of neuroinformatics.