[Comp-neuro] PhD-position in machine learning of brain signals

Axel HUTT axel.hutt at loria.fr
Wed Apr 9 16:49:22 CEST 2008


Announcement of PhD-position in machine learning in Nancy / France:
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Detection of multivariate synchronization in brain areas

In computational neuroscience, the data analysis of measured activity in
the brain promises the gain of knowledge on neural information
processing. To this end, a prominent approach is the synchronous
measurement of neural activity in different brain areas. The aim of such
measurement is the extraction of the information processing in the
single brain areas and between them. Moreover different types of neural
activity can be measured, such as Local Field Potentials and spiking  
activity.
The PhD-project aims to gain further knowledge from the measured brain
signals taking into account the different data types available. Hence
the PhD student studies non-adaptive/adaptive and dimensionality
reduction techniques and applies these to simulated and experimental
data sets. The work will be done in close collaboration with the Max
Planck Institute for Biological Cybernetics in Tubingen / Germany.

Supervisors: Axel Hutt (CR1) and Bernard Girau (HDR) 
Location:    LORIA, Nancy / France

The position starts in September 2008 and lasts for 3 years.
For more information, please see
http://www.loria.fr/~huttaxel/CORDI2008.html






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