Researchers: Iiro Jääskeläinen, Jouko Lampinen, Mikko Sams, Kimmo Kaski
Neuroscientists, having developed sophisticated methods to investigate the brain in great detail, increasingly face the challenge of managing the enormous amounts of data and inferences drawn from them. To complicate things, the data are highly diverse, arising from chemical, biophysical, structural, morphological, physiological or behavioural sources, each having its own characteristic parameters. Data are collected at all levels of biological organization, from the genetic, cellular, and neural network levels up to the whole-brain structure and function, using sophisticated and varying technology. Neuroinformatics, standing at the intersection of neuroscience and information science, aims at ultimately making it possible for researchers to share their primary data and analysis tools for quantitative integration of different levels of knowledge by means of computational modelling.
LCE is committed to advancing neuroinformatics as recently recommended by an OECD working group that one of the laboratory’s workers, Iiro Jääskeläinen, belongs to (http://www.oecd.org/pdf/M00033000/M00033112.pdf). In practise, we have started a collaborative effort with CSC and other HUT laboratories towards creating an interoperable database for MEG data. Being one of the pioneers in MEG research globally, the HUT is a very well suited environment for testing the requirements for MEG data sharing and archiving. Additionally, we are committed to free distribution of brain signal analysis algorithms developed at LCE. A new neuroinformatics major within the study program of bio-information technology at HUT has also been set up by LCE, to offer teaching on this relatively new and exciting topic.