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Department of Computer Science [pre 2018 site]

This site will stay around for the foreseeable future for archival purposes.

University of Helsinki

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Annual Report 2008

Annual Report 2008

  • FIGS
  • Front page
  • An overview of year 2008
  • Teaching
  • Research
    • Research units and networks
      • Algorithmic Data Analysis Centre-of-Excellence (Algodan)
      • Helsinki Institute for Inromation Technology HIIT
      • Networking in Open Distributed Environments - NODES
    • Research groups
      • Adaptive Computing
      • Collaborative Networking (CoNe)
      • Collaborative and Interoperable Computing (Cinco)
      • Combinatorial Pattern Matching
      • Complex Systems Computation Research Group - CoSCo
      • Computational Systems Biology and Bioninformatics
      • Computer-Assited Music Analysis, Comparison and Retrieval
      • Data mining: Theory and Applications
      • Discovery group: Data Mining for Pattern and Link Discovery
      • Doremi
      • Gamics Laboratory
      • Machine Learning
      • Neuroinformatics
      • Object-based software architectures (ROOSA)
      • Statistical Machine Learning and Bioinformatics
      • Theory and Practice of Succint Data Structures (SuDS)
      • Wireless Internet (WInt)
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Neuroinformatics

Neuroinformatics is a combination of computer science and neuroscience, and the interface between them. The group works in computational neuroscience where the goal is to build simulation models of brain functions, as well as in data analysis methods of e.g. brain-imaging data. On a more theoretical level, the group investigates statistical multivariate modelling based on non-Gaussianity.

Contact person: Professor Aapo Hyvärinen

Neuroinformatics's website

Address: Department of Computer Science, P.O. 68 (Gustaf Hällströmin katu 2b), FI-00014 UNIVERSITY OF HELSINKI, FINLAND
Opening Hours: During spring and autumn semesters Mon - Fri 7.45 - 19.45 (7.45 am - 7.45 pm)
Phone: +358 9 1911 (University switch)
General e-mail: info [at] cs.helsinki.fi
Fax: +358 9 876 4314

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