Computational Neurosciences

The computational Neurosciences are a research field of the Neurosciences which endeavors to discover the computational principles in the neuronal activity, i.e. generic algorithms which make it possible to include/understand the implementation in our central Nervous system of our cognitive functions. This goal was defined initially by David Marr in a series of articles founders.

They aim at developing methods of calculating for better including/understanding the complex relations between the structure and the function of the brain and the nervous system in general. In addition to a better knowledge of cognition and its dysfunctions, this step makes it possible to apply a transfer of this neuroscientific knowledge by proposing new methods of data processing and innovating technological devices. It can apply at various levels of description, the molecule to the behavior, and requires the constructive integration of many disciplinary fields, of sciences of living with modeling.

See the http://www.neurocomp.fr site for a complete listing of the teams in France as well as a list of resources (newspapers, publications, software formations).

Not to confuse with the Bioinformatique whose field is limited (in practice) to the genetics.

External references

to see (in English) Biography of D. Marr

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