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Prof. Dr. Matthias Bethge

Adresse: Otfried-Müller-Str. 25
72076 Tübingen
Tel.: 07071 29-89017
Fax: 07071 29-25015

 

Bild von Bethge, Matthias, Prof. Dr.

Matthias Bethge

Position: Leiter Forschungsgruppe  Abteilung: 

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Artikel (57):

Bethge M, Rotermund D und Pawelzik K (Mai-2003) Optimal neural rate coding leads to bimodal firing rate distributions Network 14(2) 303-319.
Bethge M, Rotermund D und Pawelzik K (Februar-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 und Pawelzik K (Oktober-2002) Optimal Short-Term Population Coding: When Fisher Information Fails Neural Computation 14(10) 2317-2351.
Bethge M und Pawelzik K (Juni-2002) Population coding with unreliable spikes Neurocomputing 44-46 323-328.
Benda J, Bethge M, Henning M, Pawelzik K und Herz AVM (Juni-2001) Spike-frequency adaptation: Phenomenological model and experimental tests Neurocomputing 38-40 105-110.
Bethge M und Pawelzik K (Juni-2001) Synchronous inhibition as a mechanism for unbiased selective gain control Neurocomputing 38-40 483-488.
Bethge M, Pawelzik K und Geisel T (Juni-1999) Brief pauses as signals for depressing synapses Neurocomputing 26-27 1-7.

Beiträge zu Tagungsbänden (22):

Gatys LA, Ecker AS, Bethge M, Hertzmann A und Shechtman B (Juli-2017) Controlling Perceptual Factors in Neural Style Transfer, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), 1-9.
Gatys LA, Ecker AS und Bethge M (Juni-2016) Image Style Transfer Using Convolutional Neural Networks, IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), IEEE, Piscataway, NJ, USA, 2414-2423.
Theis L, van den Oord A und Bethge M (Mai-3-2016) A note on the evaluation of generative models, International Conference on Learning Representations (ICLR 2016), 1-10.
Theis L und Bethge M (2016) Generative Image Modeling Using Spatial LSTMs In: Advances in Neural Information Processing Systems 28, , Twenty-Ninth Annual Conference on Neural Information Processing Systems (NIPS 2015), Curran, Red Hook, NY, USA, 1918-1926.
Gatys LA, Ecker AS und Bethge M (2016) Texture Synthesis Using Convolutional Neural Networks In: Advances in Neural Information Processing Systems 28, , Twenty-Ninth Annual Conference on Neural Information Processing Systems (NIPS 2015), Curran, Red Hook, NY, USA, 262-270.
Kümmerer M, Theis L und Bethge M (Mai-8-2015) Deep Gaze I: Boosting Saliency Prediction with Feature Maps Trained on ImageNet, International Conference on Learning Representations (ICLR 2015), 1-12.
Sra S, Hosseini R, Theis L und Bethge M (Mai-2015) Data modeling with the elliptical gamma distribution, 18th International Conference on Artificial Intelligence and Statistics (AISTATS 2015), International Machine Learning Society, Madison, WI, USA, 903–911, Series: JMLR Workshop and Conference Proceedings ; 38.
Theis L, Sohl-Dickstein J und Bethge M (April-2013) Training sparse natural image models with a fast Gibbs sampler of an extended state space In: Advances in Neural Information Processing Systems 25, , Twenty-Sixth Annual Conference on Neural Information Processing Systems (NIPS 2012), Curran, Red Hook, NY, USA, 1133-1141.
Haefner RM und Bethge M (Juni-2011) Evaluating neuronal codes for inference using Fisher information In: Advances in Neural Information Processing Systems 23, , Twenty-Fourth Annual Conference on Neural Information Processing Systems (NIPS 2010), Curran, Red Hook, NY, USA, 1993-2001.
Gerwinn S, Berens P und 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.
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Macke JH, Gerwinn S, Kaschube M, White LE und 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.
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Sinz F, Simoncelli EP und 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.
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Berens P, Gerwinn S, Ecker AS und 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.
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Sinz F und Bethge M (Juni-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.
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Gerwinn S, Macke J, Seeger M und 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.
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Bethge M und 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.
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Macke JH, Zeck G und 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.
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Seeger M, Gerwinn S und Bethge M (September-2007) Bayesian Inference for Sparse Generalized Linear Models In: Machine Learning: ECML 2007, , 18th European Conference on Machine Learning, Springer, Berlin, Germany, 298-309, Series: Lecture Notes in Computer Science ; 4701.
Bethge M, Wiecki TV und Wichmann FA (Februar-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, Series: Proceedings of the SPIE ; 6492.
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Bethge M, Gerwinn S und Macke JH (Februar-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, Series: Proceedings of the SPIE ; 6492.
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Bethge M, Rotermund D und 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.
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Beiträge zu Büchern (2):

Bethge M: Efficient Population Coding, 1063-1070. In: Encyclopedia of Computational Neuroscience, (Ed) D. Jaeger, Springer, New York, NY, USA, (2015).
Gerhard HE, Theis L und Bethge M: Modeling Natural Image Statistics, 53-80. In: Biologically inspired Computer Vision: Fundamentals and Applications, (Ed) G. Cristóbal, Wiley-VCH, Weinheim, Germany, (2015).

Technische Berichte (3):

Hosseini R und Bethge M: Spectral Stacking: Unbiased Shear Estimation for Weak Gravitational Lensing, 186, Max-Planck Institute for Biological Cybernetics, Tübingen, Germany, (Oktober-2009).
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Macke JH, Opper M und Bethge M: The effect of pairwise neural correlations on global population statistics, 183, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (März-2009).
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Sinz FH und 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, (März-2008).
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Poster (81):

Wallis TSA, Funke CM, Ecker AS, Gatys LA, Wichmann FA und Bethge M (Oktober-2017): A parametric texture model based on deep convolutional features closely matches texture appearance for humans, 17th Annual Meeting of the Vision Sciences Society (VSS 2017), St. Pete Beach, FL, USA, Journal of Vision, 17(10) 1081.
Vinogradov O, Ecker AS, Denfield GH, Tolias AS und Bethge M (September-14-2017): Mixed latent variable model of attention in V1, Bernstein Conference 2017, Berlin, Germany.
Klindt D, Ecker A, Euler T und Bethge M (September-14-2017): Neural system identification for large populations separating “what” and “where”, Bernstein Conference 2017, Berlin, Germany.
Kümmerer M, Wallis T und Bethge M (August-2017): DeepGaze II: Predicting fixations from deep features over time and tasks, 17th Annual Meeting of the Vision Sciences Society (VSS 2017), St. Pete Beach, FL, USA, Journal of Vision, 17(10) 1147.
Geirhos R, Jannsen D, Schütt H, Bethge M und Wichmann F (August-2017): Of Human Observers and Deep Neural Networks: A Detailed Psychophysical Comparison, 17th Annual Meeting of the Vision Sciences Society (VSS 2017), St. Pete Beach, FL, USA, Journal of Vision, 17(10) 806.
Wallis T, Funke C, Ecker A, Gatys L, Wichmann F und Bethge M (August-2017): Towards matching peripheral appearance for arbitrary natural images using deep features, 17th Annual Meeting of the Vision Sciences Society (VSS 2017), St. Pete Beach, FL, USA, Journal of Vision, 17(10) 786.
Mathis A, Wei A, Ding A, Bethge M und Murthy VN (Februar-24-2017): Boosting olfactory cocktail-party performance by semi-supervised learning in mice, Computational and Systems Neuroscience Meeting (COSYNE 2017), Salt Lake City, UT, USA.
Cadena S, Ecker A, Denfield G, Walker E, Tolias A und Bethge M (Februar-23-2017): A goal-driven deep learning approach for V1 system identification, Computational and Systems Neuroscience Meeting (COSYNE 2017), Salt Lake City, UT, USA.
Berens P, Theis L, Stone J, Sofroniew N, Tolias A, Bethge M und Freeman J (Februar-23-2017): Standardizing and benchmarking data analysis for calcium imaging, Computational and Systems Neuroscience Meeting (COSYNE 2017), Salt Lake City, UT, USA.
Kümmerer M, Wallis TSA und Bethge M (September-22-2016): DeepGaze II: Explaining nearly all information in image-based saliency using features trained on object detection, Bernstein Conference 2016, Berlin, Germany.
Ustyuzhaninov I, Brendel W, Gatys L und Bethge M (September-22-2016): Texture synthesis using random shallow neural networks, Bernstein Conference 2016, Berlin, Germany.
Cadena SA, Ecker AS, Denfield GH, Walker EY, Tolias AS und Bethge M (September-21-2016): A goal-driven deep learning approach for V1 system identification, Bernstein Conference 2016, Berlin, Germany.
Boettcher A, Brendel W und Bethge M (September-21-2016): Large scale blind source separation, Bernstein Conference 2016, Berlin, Germany.
Gatys LA, Ecker AS und Bethge M (September-2016): A Neural Algorithm of Artistic Style, 16th Annual Meeting of the Vision Sciences Society (VSS 2016), St. Pete Beach, FL, USA, Journal of Vision, 16(12) 326.
Kümmerer M und Bethge M (September-2016): DeepGaze II: A big step towards explaining all information in image-based saliency, 16th Annual Meeting of the Vision Sciences Society (VSS 2016), St. Pete Beach, FL, USA, Journal of Vision, 16(12) 330.
Wallis TSA, Ecker AS, Gatys LA, Funke CM, Wichmann FA und Bethge M (September-2016): Seeking summary statistics that match peripheral visual appearance using naturalistic textures generated by Deep Neural Networks, 16th Annual Meeting of the Vision Sciences Society (VSS 2016), St. Pete Beach, FL, USA, Journal of Vision, 16(12) 230.
Denfield GH, Ecker AS, Bethge M und Tolias AS (Juni-2016): Correlated Variability in Population Activity: Noise or Signature of Internal Computations, AREADNE 2016: Research in Encoding And Decoding of Neural Ensembles, Santorini, Greece.
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Last updated: Montag, 22.05.2017