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Matthias Bethge

Short CV

1993-1998 Diploma @ University of Göttingen (Physics)
1998-2003 Dr. rer. Nat. @ Bremen University (Computational Neuroscience)
2003-2005 Post Doc @ Redwood Neuroscience Institute / Redwood Center for Theoretical Neuroscience, UC Berkeley (Computational Neuroscience)
2005-2006 Senior Post Doc @ MPI for Biological Cybernetics (Computational Neuroscience)
2007-2009 Independent Group Leader @ MPI for Biological Cybernetics (Computational Neuroscience)
2009-present Professor @ University of Tuebingen (Werner Reichardt Centre for Integrative Neuroscience – CIN)

Documents

CV of Matthias Bethge [pdf]

Scientifc Interest

  • Natural Image Statistics
  • Neural Population Coding
  • Perceptual Inference

Further Activities

  • Coordinator of the Bernstein Center for Computational Neuroscience in Tuebingen
  • Coordinator of the Graduate School for Neural Information Processing (together with Prof. Giese)
  • Member of the “Young Elite” advisory board for the economic magazine ‘Capital’.

Memberships

  • Member of the project committee of the Bernstein National Network for Computational Neuroscience.
  • Neurowissenschaftliche Gesellschaft (NWG)
  • Deutsche Physikalische Gesellschaft (DPG)
Matthias Bethge
Matthias Bethge

Research Group

Computational Vision & Neuroscience Group

[more information]

Contact

Werner-Reichardt-Centrum fuer Integrative Neurowissenschaften (CIN)

Otfried-Mueller-Str. 25
72076 Tuebingen
Germany

Phone: 0049 (0) 7071 29-89017
Fax: 0049 (0) 7071 29-25015

E-mail: matthias.bethge[at]cin.uni-tuebingen.de

Website: bethgelab.org

 

Key Publications

  1. Hosseini, R., F. H. Sinz and M. Bethge (2010)
    Lower bounds on the redundancy of natural images.
    Vision Research 50(22), 2213-2222 (2010).
  2. Ecker AS, Berens P, Keliris G, Bethge M, Logothetis NK, Tolias AS (2010)
    Deccorelated Firing in Cortical Microcircuits.
    Science 327 (5965): 584-7. (2010).
  3. Macke, J. H., S. Gerwinn, L. W. White, M. Kaschube and M. Bethge (2010)
    Gaussian process methods for estimating cortical maps.
    NeuroImage Epub ahead, 1-12 (2010).
  4. Gerwinn, S., J. H. Macke and M. Bethge (2009)
    Bayesian population decoding of spiking neurons.
    Frontiers in Computational Neuroscience 3(21), 1-28 (2009).
  5. Sinz, F. H., S. Gerwinn and M. Bethge (2009)
    Characterization of the p-generalized Normal Distribution.
    Journal of Multivariate Analysis 100(5), 817-820 (2009).
  6. Eichhorn, J., F. H. Sinz and M. Bethge (2009)
    Natural Image Coding in V1: How Much Use is Orientation Selectivity?
    PLoS Computational Biology 5(4:e1000336), 1-16 (2009).
  7. Macke JH, Berens P, Ecker AS, Tolias AS, Bethge M (2009)
    Generating Spike Trains with Specified Correlation Coefficients.
    Neural Computation 21(2), 397-423. (2009).
  8.  Bethge, M. (2006)
    Factorial coding of natural images: how effective are linear models in removing higher-order dependencies?
    Journal of the Optical Society of America A 23(6), 1253-1268 (2006).
  9. Silberberg, G., M. Bethge, H. Markram, K. Pawelzik and M. Tsodyks
    Dynamics of Population Rate Codes in Ensembles of Neocortical Neurons.
    Journal of Neurophysiology 91(2), 704-709 (02 2004).
  10. Bethge, M., D. Rotermund and K. Pawelzik
    Optimal Short-Term Population Coding: When Fisher Information Fails.
    Neural Computation 14(10), 2317-2351 (10 2002).

Research Groups

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