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Prof. Dr. Matthias Bethge

Address:	Otfried-Müller-Str. 25 72076 Tübingen
Phone:	+49 7071 29-89017
Fax:	+49 7071 29-25015
E-Mail:	mbethge

Matthias Bethge

Position: Research Group Leader Unit: Bethge

Publications

Articles (30):
•	Haefner RM , Gerwinn S , Macke JH and Bethge M (February-2013) Inferring decoding strategies from choice probabilities in the presence of correlated variability Nature Neuroscience 16(2) 235–242.
•	Gerhard HE , Wichmann FA and Bethge M (January-2013) How sensitive is the human visual system to the local statistics of natural images? PLoS Computational Biology 9(1) 1-15.
•	Berens P , Ecker AS , Cotton RJ , Ma WJ , Bethge M and Tolias AS (August-2012) A Fast and Simple Population Code for Orientation in Primate V1 Journal of Neuroscience 32(31) 10618-10626.
•	Putzeys T , Bethge M , Wichmann F , Wagemans J and Goris R (April-2012) A New Perceptual Bias Reveals Suboptimal Population Decoding of Sensory Responses PLoS Computational Biology 8(4) 1-13.
•	Theis L , Gerwinn S , Sinz F and Bethge M (November-2011) In All Likelihood, Deep Belief Is Not Enough Journal of Machine Learning Research 12 3071-3096.
•	Ecker AS , Berens P , Tolias AS and Bethge M (October-2011) The effect of noise correlations in populations of diversely tuned neurons Journal of Neuroscience 31(40) 14272-14283.
•	Kitching T , Amara A , Gill M , Harmeling S , Heymans C , Massey R , Rowe B , Schrabback T , Voigt L , Balan S , Bernstein G , Bethge M , Bridle S , Courbin F , Gentile M , Heavens A , Hirsch M , Hosseini R , Kiessling A , Kirk D , Kuijken K , Mandelbaum R , Moghaddam B , Nurbaeva G , Paulin-Henriksson S , Rassat A , Rhodes J , Schölkopf B , Shawe-Taylor J , Shmakova M , Taylor A , Velander M , van Waerbeke L , Witherick D and Wittman D (September-2011) Gravitational Lensing Accuracy Testing 2010 (GREAT10) Challenge Handbook Annals of Applied Statistics 5(3) 2231-2263.
•	Macke J , Berens P and Bethge M (July-2011) Statistical analysis of multi-cell recordings: linking population coding models to experimental data Frontiers in Computational Neuroscience 5(35) 1-2.
•	Macke JH , Opper M and Bethge M (May-2011) Common Input Explains Higher-Order Correlations and Entropy in a Simple Model of Neural Population Activity Physical Review Letters 106(20) 1-4.
•	Macke JH , Gerwinn S , White LW , Kaschube M and Bethge M (May-2011) Gaussian process methods for estimating cortical maps NeuroImage 56(2) 570-581.
•	Berens P , Ecker AS , Gerwinn S , Tolias AS and Bethge M (March-2011) Reassessing optimal neural population codes with neurometric functions Proceedings of the National Academy of Sciences of the United States of America 108(11) 4423-4428.
•	Gerwinn S , Macke JH and Bethge M (February-2011) Reconstructing stimuli from the spike-times of leaky integrate and fire neurons Frontiers in Neuroscience 5(1) 1-16.
•	Sinz F and Bethge M (December-2010) Lp-Nested Symmetric Distributions Journal of Machine Learning Research 11 3409-3451.
•	Hosseini R , Sinz FH and Bethge M (October-2010) Lower bounds on the redundancy of natural images Vision Research 50(22) 2213-2222.
•	Bridle S , Balan ST , Bethge M , Gentile M , Harmeling S , Heymans C , Hirsch M , Hosseini R , Jarvis M , Kirk D , Kitching T , Kuijken K , Lewis A , Paulin-Henriksson S , Schölkopf B , Velander M , Voigt L , Witherick D , Amara A , Bernstein G , Courbin F , Gill M , Heavens A , Mandelbaum R , Massey R , Moghaddam B , Rassat A , Refregier A , Rhodes J , Schrabback T , Shawe-Taylor J , Shmakova M , van Waerbeke L and Wittman D (July-2010) Results of the GREAT08 Challenge: An image analysis competition for cosmological lensing Monthly Notices of the Royal Astronomical Society 405(3) 2044-2061.
•	Gerwinn S , Macke J and Bethge M (April-2010) Bayesian inference for generalized linear models for spiking neurons Frontiers in Computational Neuroscience 4(12) 1-42.
•	Ecker AS , Berens P , Keliris GA , Bethge M , Logothetis NK and Tolias AS (January-2010) Decorrelated Neuronal Firing in Cortical Microcircuits Science 327(5965) 584-587.
•	Gerwinn S , Macke JH and Bethge M (October-2009) Bayesian population decoding of spiking neurons Frontiers in Computational Neuroscience 3(21) 1-28.
•	Sinz FH , Gerwinn S and Bethge M (May-2009) Characterization of the p-Generalized Normal Distribution Journal of Multivariate Analysis 100(5) 817-820.
•	Eichhorn J , Sinz FH and Bethge M (April-2009) Natural Image Coding in V1: How Much Use is Orientation Selectivity? PLoS Computational Biology 5(4:e1000336) 1-16.
•	Macke JH , Berens P , Ecker AS , Tolias AS and Bethge M (February-2009) Generating Spike Trains with Specified Correlation Coefficients Neural Computation 21(2) 397-423.
•	Bethge M (June-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.
•	Silberberg G , Bethge M , Markram H , Pawelzik K and Tsodyks M (February-2004) Dynamics of Population Rate Codes in Ensembles of Neocortical Neurons Journal of Neurophysiology 91(2) 704-709.
•	Bethge M , Rotermund D and Pawelzik K (May-2003) Optimal neural rate coding leads to bimodal firing rate distributions Network 14(2) 303-319.
•	Bethge M , Rotermund D and Pawelzik K (February-2003) Second Order Phase Transition in Neural Rate Coding: Binary Encoding is Optimal for Rapid Signal Transmission Physical Review Letters 90(8:088104) 1-4.
•	Bethge M , Rotermund D and Pawelzik K (October-2002) Optimal Short-Term Population Coding: When Fisher Information Fails Neural Computation 14(10) 2317-2351.
•	Bethge M and Pawelzik K (June-2002) Population coding with unreliable spikes Neurocomputing 44-46 323-328.
•	Benda J , Bethge M , Henning M , Pawelzik K and Herz AVM (June-2001) Spike-frequency adaptation: Phenomenological model and experimental tests Neurocomputing 38-40 105-110.
•	Bethge M and Pawelzik K (June-2001) Synchronous inhibition as a mechanism for unbiased selective gain control Neurocomputing 38-40 483-488.
•	Bethge M , Pawelzik K and Geisel T (June-1999) Brief pauses as signals for depressing synapses Neurocomputing 26-27 1-7.
Conference papers (12):
•	Gerwinn S , Berens P and Bethge M (April-2010) A joint maximum-entropy model for binary neural population patterns and continuous signals In: Advances in Neural Information Processing Systems 22, 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Curran, Red Hook, NY, USA, 620-628.
•	Macke JH , Gerwinn S , Kaschube M , White LE and Bethge M (April-2010) Bayesian estimation of orientation preference maps In: Advances in Neural Information Processing Systems 22, 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Curran, Red Hook, NY, USA, 1195-1203.
•	Sinz F , Simoncelli EP and Bethge M (April-2010) Hierarchical Modeling of Local Image Features through Lp-Nested Symmetric Distributions In: Advances in Neural Information Processing Systems 22, 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Curran, Red Hook, NY, USA, 1696-1704.
•	Berens P , Gerwinn S , Ecker AS and Bethge M (April-2010) Neurometric function analysis of population codes In: Advances in Neural Information Processing Systems 22, 23rd Annual Conference on Neural Information Processing Systems (NIPS 2009), Curran, Red Hook, NY, USA, 90-98.
•	Sinz F and Bethge M (June-2009) The Conjoint Effect of Divisive Normalization and Orientation Selectivity on Redundancy Reduction In: Advances in neural information processing systems 21, Twenty-Second Annual Conference on Neural Information Processing Systems (NIPS 2008), Curran, Red Hook, NY, USA, 1521-1528.
•	Gerwinn S , Macke J , Seeger M and Bethge M (September-2008) Bayesian Inference for Spiking Neuron Models with a Sparsity Prior In: Advances in neural information processing systems 20, Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Curran, Red Hook, NY, USA, 529-536.
•	Bethge M and Berens P (September-2008) Near-Maximum Entropy Models for Binary Neural Representations of Natural Images In: Advances in neural information processing systems 20, Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Curran, Red Hook, NY, USA, 97-104.
•	Macke JH , Zeck G and Bethge M (September-2008) Receptive Fields without Spike-Triggering In: Advances in neural information processing systems 20, Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Curran, Red Hook, NY, USA, 969-976.
•	Seeger M , Gerwinn S and Bethge M (September-2007) Bayesian Inference for Sparse Generalized Linear Models In: ECML 2007, 18th European Conference on Machine Learning, Springer, Berlin, Germany, 298-309.
•	Bethge M , Wiecki TV and Wichmann FA (February-2007) The Independent Components of Natural Images are Perceptually Dependent In: Human Vision and Electronic Imaging XII, SPIE Human Vision and Electronic Imaging Conference 2007, SPIE, Bellingham, WA, USA, 1-12.
•	Bethge M , Gerwinn S and Macke JH (February-2007) Unsupervised learning of a steerable basis for invariant image representations In: Human Vision and Electronic Imaging XII, SPIE Human Vision and Electronic Imaging Conference 2007, SPIE, Bellingham, WA, USA, 1-12.
•	Bethge M , Rotermund D and Pawelzik K (2003) Binary tuning is optimal for neural rate coding with high temporal resolution In: Advances in neural information processing systems 15, Sixteenth Annual Conference on Neural Information Processing Systems (NIPS 2002), MIT Press, Cambridge, MA, USA, 189-196.
Contributions to books (1):
•	Bethge M and Pawelzik KR : A rôle for the ongoing activity: Unbiased selective gain control with synchronous inhibition, 1-16. In: Modulation of Neuronal Signalling: Implications for Visual Perception, , NATO Science Program, _, (2001).
Technical reports (3):
•	Hosseini R and Bethge M : Spectral Stacking: Unbiased Shear Estimation for Weak Gravitational Lensing, 186, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, (October-2009).
•	Macke JH , Opper M and Bethge M : The effect of pairwise neural correlations on global population statistics, 183, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (March-2009).
•	Sinz FH and Bethge M : How Much Can Orientation Selectivity and Contrast Gain Control Reduce the Redundancies in Natural Images, 169, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (March-2008).
Posters (39):
•	Buesing L , Macke J and Bethge M (March-2013): Robust estimation for neural state-space models, Computational and Systems Neuroscience Meeting (COSYNE 2013), Salt Lake City, UT, USA.
•	Theis LM , Arnstein D , Chagas AM , Schwarz C and Bethge M (September-2012): Beyond GLMs: a generative mixture modeling approach to neural system identification, Bernstein Conference 2012, München, Germany, Frontiers in Computational Neuroscience, Conference Abstract: Bernstein Conference 2012 165.
•	Gerhard HE , Wichmann FA and Bethge M (September-2012): How Sensitive Is the Human Visual System to the Local Statistics of Natural Images?, Bernstein Conference 2012, München, Germany, Frontiers in Computational Neuroscience, Conference Abstract: Bernstein Conference 2012 175.
•	Theis LM , Hosseini R and Bethge M (September-2012): Mixtures of conditional Gaussian scale mixtures: the best model for natural images, Bernstein Conference 2012, München, Germany, Frontiers in Computational Neuroscience, Conference Abstract: Bernstein Conference 2012 247.