From chemical to receptive space
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1
FU Berlin, Institut für Biologie, AG Neuroinformatik, Germany
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2
Max Planck Institut für Biophysik, Department of Molecular Neurogenetics, Germany
In a high throughput screening process we determine the in vivo response of glomeruli in the mouse olfactory bulb to different odors using intrinsic signal optical imaging. On this basis we identify the receptive range of individual glomeruli and predict further activating odors using pattern recognition algorithms: odor molecules are described by physio-chemical descriptors on which Support Vector Machines are trained to distinguish activating and non-activating molecules. The optimal set of descriptors is obtained by using an Evolutionary Algorithm.
In an iterative scheme, the hypotheses are validated or falsified by imaging experiments using previously untested odors. In a first iteration for a GFP labeled glomerulus three new potential ligands were identified.
Employing the imaging and prediction results of individual glomeruli our goal is to obtain a molecular property map of the olfactory bulb.
Keywords:
computational neuroscience
Conference:
Bernstein Conference on Computational Neuroscience, Berlin, Germany, 27 Sep - 1 Oct, 2010.
Presentation Type:
Poster Abstract
Topic:
Bernstein Conference on Computational Neuroscience
Citation:
Sölter
J,
Spors
H,
Schumacher
J and
Schmuker
M
(2010). From chemical to receptive space.
Front. Comput. Neurosci.
Conference Abstract:
Bernstein Conference on Computational Neuroscience.
doi: 10.3389/conf.fncom.2010.51.00111
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Received:
08 Sep 2010;
Published Online:
23 Sep 2010.
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Correspondence:
Dr. Jan Sölter, FU Berlin, Institut für Biologie, AG Neuroinformatik, Berlin, Germany, j.soelter@fu-berlin.de