Leiter der Forschungsgruppe

Prof. Dr. Matthias Bethge
Öffnet einen internen Link im aktuellen FensterProf. Dr. Matthias Bethge
Tel: 07071 29-89017
Fax: 07071 29-25015
Öffnet ein Fenster zum Versenden einer E-Mailmbethge[at]tuebingen.mpg.de

 

Sekretärin: Heike König
Tel: 07071 29-89018
Fax: 07071 29-25015
Öffnet ein Fenster zum Versenden einer E-Mailheike.koenig[at]tuebingen.mpg.de
 

 

Publikationsliste Forschungsgruppe Bethge

Präferenzen: 
Referenzen pro Seite: Jahr: Medium:

  
Zeige Zusammenfassung

Artikel (6):

174. Eichhorn J, Sinz FH und Bethge M (April-2009) Natural Image Coding in V1: How Much Use is Orientation Selectivity? PLoS Computational Biology 5(4) 1-16.
173. Macke JH, Berens P, Ecker AS, Tolias AS und Bethge M (Februar-2009) Generating Spike Trains with Specified Correlation Coefficients Neural Computation 21(2) 397-423.
pdf
172. Wiecki TV, Riedinger K, Ameln-Mayerhofer A, Schmidt WJ und Frank MJ (Januar-2009) A neurocomputational account of catalepsy sensitization induced by D2 receptor blockade in rats: context dependency, extinction, and renewal Psychopharmacology 204(2) 265-277.
pdf
171. Berens P, Keliris GA, Ecker AS, Logothetis NK und Tolias AS (Dezember-2008) Feature selectivity of the gamma-band of the local field potential in primate primary visual cortex Frontiers in Neuroscience 2(2) 199-207.
170. Ku S-P, Gretton A, Macke J und Logothetis NK (September-2008) Comparison of Pattern Recognition Methods in Classifying High-resolution BOLD Signals Obtained at High Magnetic Field in Monkeys Magnetic Resonance Imaging 26(7) 1007-1014.
pdf
169. Berens P, Keliris GA, Ecker AS, Logothetis NK und Tolias AS (Juni-2008) Comparing the feature selectivity of the gamma-band of the local field potential and the underlying spiking activity in primate visual cortex Frontiers in Systems Neuroscience 2(2) 1-11.
168. Macke JH, Maack N, Gupta R, Denk W, Schölkopf B und Borst A (Januar-2008) Contour-propagation Algorithms for Semi-automated Reconstruction of Neural Processes Journal of Neuroscience Methods 167(2) 349-357.
pdf

Beiträge zu Tagungsbänden (1):

167. Klindt D, Ecker A, Euler T und Bethge M (Juni-2018) Neural system identification for large populations separating "what" and "where" In: Advances in Neural Information Processing Systems 30, , Thirty-First Conference on Neural Information Processing Systems (NIPS 2017), Curran, Red Hook, NY, USA, 3507-3517.
166. 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.
165. 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.
164. 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.
163. Theis L und Hoffman MD (Juli-2015) A trust-region method for stochastic variational inference with applications to streaming data, 32nd International Conference on Machine Learning (ICML 2015), International Machine Learning Society, Madison, WI, USA, 2503-2511, Series: JMLR Workshop and Conference Proceedings ; 37.
162. 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.
161. 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.
160. 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.
159. 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.
158. 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.
pdf
157. 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.
pdf
156. 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.
pdfpdf
155. 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.
pdf
154. Kharche S, Lüdtke N, Panzeri S und Zhang H (Juni-2009) A Global Sensitivity Index for Biophysically Detailed Cardiac Cell Models: A Computational Approach In: Functional Imaging and Modeling of the Heart, , 5th International Conference on Functional Imaging and Modeling of the Heart (FIMH 2009), Springer, Berlin, Germany, 366-375, Series: Lecture Notes in Computer Science ; 5528.
153. 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.
pdf
152. Sinz FH, Chapelle O, Agarwal A und Schölkopf B (September-2008) An Analysis of Inference with the Universum In: Advances in neural information processing systems 20, , Twenty-First Annual Conference on Neural Information Processing Systems (NIPS 2007), Curran, Red Hook, NY, USA, 1369-1376.
pdf
151. 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.
pdf
150. 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.
pdf
149. 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.
pdf
148. Laub J, Macke JH, Müller K-R und Wichmann FA (September-2007) Inducing Metric Violations in Human Similarity Judgements In: Advances in Neural Information Processing Systems 19, , Twentieth Annual Conference on Neural Information Processing Systems (NIPS 2006), MIT Press, Cambridge, MA, USA, 777-784.
pdf
147. 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.
pdf
146. 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.
pdf
145. Everingham M, Zisserman A, Williams CKI, van Gool L, Allan M, Bishop CM, Chapelle O, Dalal N, Deselaers T, Dorkó G, Duffner S, Eichhorn J, Farquhar JDR, Fritz M, Garcia C, Griffiths T, Jurie F, Keysers D, Koskela M, Laaksonen J, Larlus D, Leibe B, Meng H, Ney H, Schiele B, Schmid C, Seemann E, Shaw-Taylor J, Storkey A, Szedmak S, Triggs B, Ulusoy I, Viitaniemi V und Zhang J (April-2005) The 2005 PASCAL Visual Object Classes Challenge In: Machine Learning Challenges: Evaluating Predictive Uncertainty, Visual Object Classification, and Recognising Tectual Entailment, , First PASCAL Machine Learning Challenges Workshop (MLCW 2005), Springer, Berlin, Germany, 117-176, Series: Lecture Notes in Computer Science ; 3944.

Beiträge zu Büchern (1):

144. Bethge M: Efficient Population Coding, 1063-1070. In: Encyclopedia of Computational Neuroscience, (Ed) D. Jaeger, Springer, New York, NY, USA, (2015).
143. Berens P, Logothetis NK und Tolias AS: Local Field Potentials, BOLD, and Spiking Activity: Relationsships and Physiological Mechanisms, 599-624. In: Visual population codes: toward a common multivariate framework for cell recording and functional imaging, (Ed) N. Kriegeskorte, MIT Press, Cambridge, MA, USA, (2012).

Technische Berichte (3):

142. 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).
pdf
141. Berens P und Velasco MJ: The circular statistics toolbox for Matlab, 184, Max Planck Institute for Biological Cybernetics, Tübingen, Germany, (April-2009).
pdf
140. 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).
pdf
139. 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).
pdf

Poster (5):

138. Cotton RJ, Ecker AS, Froudarakis E, Berens P, Bethge M, Saggau P und Tolias AS (Juni-23-2018): Scaling of information in large sensory populations, AREADNE 2018: Research in Encoding And Decoding of Neural Ensembles, Santorini, Greece.
137. Klindt D, Ecker A, Euler T und Bethge M (Juni-22-2018): Neural system identification for large populations: Separating what and where, AREADNE 2018: Research in Encoding And Decoding of Neural Ensembles, Santorini, Greece.
136. Funke CM, Borowski J, Wallis TSA, Brendel W, Ecker AS und Bethge M (Mai-21-2018): Comparing the ability of humans and DNNs to recognise closed contours in cluttered images, 18th Annual Meeting of the Vision Sciences Society (VSS 2018), St. Pete Beach, FL, USA.
135. Mathis M, Mathis A, Mamidanna P, Abe T, Murty V und Bethge M (Mai-2018): Markerless tracking of user-defined anatomical features with deep learning, 28th Annual Meeting of the Society for the Neural Control of Movement (NCM 2018), Santa Fe, NM, USA.
134. Mamidanna P, Michaelis C, Mathis A und Bethge M (Mai-2018): Towards goal-driven deep neural network models to elucidate human arm proprioception, 28th Annual Meeting of the Society for the Neural Control of Movement (NCM 2018), Santa Fe, NM, USA.
133. 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.
132. 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.
131. Ustyuzhaninov I, Brendel W, Gatys L und Bethge M (September-22-2016): Texture synthesis using random shallow neural networks, Bernstein Conference 2016, Berlin, Germany.
130. Boettcher A, Brendel W und Bethge M (September-21-2016): Large scale blind source separation, Bernstein Conference 2016, Berlin, Germany.
129. 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.
128. Bethge M, Theis L, Berens P, Froudarakis E, Reimer J, Roman-Roson M, Baden T, Euler T und Tolias A (Februar-2016): Supervised learning sets benchmark for robust spike rate inference from calcium imaging signals, Computational and Systems Neuroscience Meeting (COSYNE 2016), Salt Lake City, UT, USA.
127. Nonnenmacher M, Behrens C, Berens P, Bethge M und Macke JH (Oktober-20-2015): Correlations and signatures of criticality in neural population models, 45th Annual Meeting of the Society for Neuroscience (Neuroscience 2015), Chicago, IL, USA.
126. Cotton JR, Ecker AS, Froudarakis E, Berens P, Bethge M, Saggau P und Tolias AS (Oktober-19-2015): Scaling of information in large sensory neuronal populations, 45th Annual Meeting of the Society for Neuroscience (Neuroscience 2015), Chicago, IL, USA.
125. Cadwell CR, Jiang X, Berens P, Fahey PG, Yatsenko D, Froudarakis E, Ecker AS und Tolias AS (Oktober-17-2015): Sibling rivalry and cooperation among excitatory neurons in the neocortex, 45th Annual Meeting of the Society for Neuroscience (Neuroscience 2015), Chicago, IL, USA.
Seite:  
1, 2, 3, 4, 5

Export als:
BibTeX, XML, pubman, Edoc, RTF
Last updated: Mittwoch, 27.02.2013