Welcome to INCF Neuroinformatics 2009
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Workshops
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Advances in the automatic analysis of multi-dimensional data
Advances in the automatic analysis of multi-dimensional data
- Advances in the automatic analysis of multi-dimensional data
- Ontologies for neuroscience: applications and advances
- How should a neuron be modeled? Biophysical detail vs. abstraction
- High performance computing and grid infrastructure for neuroinformatics applications
- The neuroinformatics of neural connectivity
Workshop 1
Title: Advances in the automatic analysis of multi-dimensional data
Chair: Jaap Van Pelt, VU University Amsterdam, Netherlands
Co-chair: Ulla Ruotsalainen, Tampere University of Technology, Finland
Extraction of information from data is a main objective of data analysis. Significant complexity arises when multi-dimensionality is involved, in data type, in analytical approach or in the underlying models. This occurs, for instance, in the analysis of action potential or field potential recordings from multiple electrodes, or in statistical and multi-scale analysis of fMRI or confocal images. This workshop will focus on the present status and future challenges in the methodology of multidimensional data analysis.
Speakers:
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Bart ter Haar Romeny, Eindhoven University of Technology, Netherlands
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Uri Eden, Boston University, USA
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Klaus Linkenkaer-Hansen, VU University Amsterdam, Netherlands