| Year |
Citation |
Score |
| 2024 |
Höfling L, Szatko KP, Behrens C, Deng Y, Qiu Y, Klindt DA, Jessen Z, Schwartz GW, Bethge M, Berens P, Franke K, Ecker AS, Euler T. A chromatic feature detector in the retina signals visual context changes. Elife. 13. PMID 39365730 DOI: 10.7554/eLife.86860 |
0.804 |
|
| 2024 |
Cadena SA, Willeke KF, Restivo K, Denfield G, Sinz FH, Bethge M, Tolias AS, Ecker AS. Diverse task-driven modeling of macaque V4 reveals functional specialization towards semantic tasks. Plos Computational Biology. 20: e1012056. PMID 38781156 DOI: 10.1371/journal.pcbi.1012056 |
0.768 |
|
| 2024 |
Burg MF, Zenkel T, Vystrčilová M, Oesterle J, Höfling L, Willeke KF, Lause J, Müller S, Fahey PG, Ding Z, Restivo K, Sridhar S, Gollisch T, Berens P, Tolias AS, ... ... Bethge M, et al. Most discriminative stimuli for functional cell type clustering. Arxiv. PMID 38560735 |
0.791 |
|
| 2023 |
Sandbrink KJ, Mamidanna P, Michaelis C, Bethge M, Mathis MW, Mathis A. Contrasting action and posture coding with hierarchical deep neural network models of proprioception. Elife. 12. PMID 37254843 DOI: 10.7554/eLife.81499 |
0.788 |
|
| 2023 |
Qiu Y, Klindt DA, Szatko KP, Gonschorek D, Hoefling L, Schubert T, Busse L, Bethge M, Euler T. Efficient coding of natural scenes improves neural system identification. Plos Computational Biology. 19: e1011037. PMID 37093861 DOI: 10.1371/journal.pcbi.1011037 |
0.304 |
|
| 2023 |
Li Z, Ortega Caro J, Rusak E, Brendel W, Bethge M, Anselmi F, Patel AB, Tolias AS, Pitkow X. Robust deep learning object recognition models rely on low frequency information in natural images. Plos Computational Biology. 19: e1010932. PMID 36972288 DOI: 10.1371/journal.pcbi.1010932 |
0.606 |
|
| 2021 |
Burg MF, Cadena SA, Denfield GH, Walker EY, Tolias AS, Bethge M, Ecker AS. Learning divisive normalization in primary visual cortex. Plos Computational Biology. 17: e1009028. PMID 34097695 DOI: 10.1371/journal.pcbi.1009028 |
0.795 |
|
| 2020 |
Zhao Z, Klindt DA, Maia Chagas A, Szatko KP, Rogerson L, Protti DA, Behrens C, Dalkara D, Schubert T, Bethge M, Franke K, Berens P, Ecker AS, Euler T. The temporal structure of the inner retina at a single glance. Scientific Reports. 10: 4399. PMID 32157103 DOI: 10.1038/S41598-020-60214-Z |
0.792 |
|
| 2019 |
Sinz FH, Pitkow X, Reimer J, Bethge M, Tolias AS. Engineering a Less Artificial Intelligence. Neuron. 103: 967-979. PMID 31557461 DOI: 10.1016/J.Neuron.2019.08.034 |
0.771 |
|
| 2019 |
Wallis TSA, Tobias S, Bethge M, Wichmann FA. Correction to: Detecting distortions of peripherally presented letter stimuli under crowded conditions. Attention, Perception & Psychophysics. PMID 31529209 DOI: 10.3758/S13414-019-01855-9 |
0.698 |
|
| 2019 |
Nath T, Mathis A, Chen AC, Patel A, Bethge M, Mathis MW. Using DeepLabCut for 3D markerless pose estimation across species and behaviors. Nature Protocols. PMID 31227823 DOI: 10.1038/S41596-019-0176-0 |
0.782 |
|
| 2019 |
Wallis TS, Funke CM, Ecker AS, Gatys LA, Wichmann FA, Bethge M. Image content is more important than Bouma's Law for scene metamers. Elife. 8. PMID 31038458 DOI: 10.7554/Elife.42512 |
0.798 |
|
| 2019 |
Cadena SA, Denfield GH, Walker EY, Gatys LA, Tolias AS, Bethge M, Ecker AS. Deep convolutional models improve predictions of macaque V1 responses to natural images. Plos Computational Biology. 15: e1006897. PMID 31013278 DOI: 10.1371/Journal.Pcbi.1006897 |
0.791 |
|
| 2019 |
Wallis TS, Funke CM, Ecker AS, Gatys LA, Wichmann FA, Bethge M. Author response: Image content is more important than Bouma’s Law for scene metamers Elife. DOI: 10.7554/Elife.42512.031 |
0.779 |
|
| 2019 |
Michaelis C, Weller M, Funke C, Ecker AS, Wallis TS, Bethge M. Comparing Search Strategies of Humans and Machines in Clutter Journal of Vision. 19: 309c. DOI: 10.1167/19.10.309C |
0.757 |
|
| 2019 |
Kümmerer M, Wallis TS, Bethge M. Behavioural evidence for the existence of a spatiotopic free-viewing saliency map Journal of Vision. 19: 305a. DOI: 10.1167/19.10.305A |
0.558 |
|
| 2019 |
Geirhos R, Rubisch P, Rauber J, Temme CRM, Michaelis C, Brendel W, Bethge M, Wichmann FA. Inducing a human-like shape bias leads to emergent human-level distortion robustness in CNNs Journal of Vision. 19: 209c. DOI: 10.1167/19.10.209C |
0.756 |
|
| 2018 |
Subramaniyan M, Ecker AS, Patel SS, Cotton RJ, Bethge M, Pitkow X, Berens P, Tolias AS. Faster processing of moving compared with flashed bars in awake macaque V1 provides a neural correlate of the flash lag illusion. Journal of Neurophysiology. 120: 2430-2452. PMID 30365390 DOI: 10.1152/Jn.00792.2017 |
0.793 |
|
| 2018 |
Subramaniyan M, Ecker AS, Patel SS, Cotton RJ, Bethge M, Pitkow X, Berens P, Tolias A. Faster processing of moving compared to flashed bars in awake macaque V1 provides a neural correlate of the flash lag illusion. Journal of Neurophysiology. PMID 30133378 DOI: 10.1152/jn.00792.2017 |
0.797 |
|
| 2018 |
Mathis A, Mamidanna P, Cury KM, Abe T, Murthy VN, Mathis MW, Bethge M. DeepLabCut: markerless pose estimation of user-defined body parts with deep learning. Nature Neuroscience. PMID 30127430 DOI: 10.1038/S41593-018-0209-Y |
0.781 |
|
| 2018 |
Denfield GH, Ecker AS, Shinn TJ, Bethge M, Tolias AS. Attentional fluctuations induce shared variability in macaque primary visual cortex. Nature Communications. 9: 2654. PMID 29985411 DOI: 10.1038/S41467-018-05123-6 |
0.787 |
|
| 2018 |
Berens P, Freeman J, Deneux T, Chenkov N, McColgan T, Speiser A, Macke JH, Turaga SC, Mineault P, Rupprecht P, Gerhard S, Friedrich RW, Friedrich J, Paninski L, Pachitariu M, ... ... Bethge M, et al. Community-based benchmarking improves spike rate inference from two-photon calcium imaging data. Plos Computational Biology. 14: e1006157. PMID 29782491 DOI: 10.1371/Journal.Pcbi.1006157 |
0.79 |
|
| 2018 |
Funke C, Borowski J, Wallis T, Brendel W, Ecker A, Bethge M. Comparing the ability of humans and DNNs to recognise closed contours in cluttered images Journal of Vision. 18: 800. DOI: 10.1167/18.10.800 |
0.786 |
|
| 2018 |
Kümmerer M, Wallis T, Bethge M. Extending DeepGaze II: Scanpath prediction from deep features Journal of Vision. 18: 371. DOI: 10.1167/18.10.371 |
0.575 |
|
| 2017 |
Wallis TSA, Funke CM, Ecker AS, Gatys LA, Wichmann FA, Bethge M. A parametric texture model based on deep convolutional features closely matches texture appearance for humans. Journal of Vision. 17: 5. PMID 28983571 DOI: 10.1167/17.12.5 |
0.804 |
|
| 2017 |
Nonnenmacher M, Behrens C, Berens P, Bethge M, Macke JH. Signatures of criticality arise from random subsampling in simple population models. Plos Computational Biology. 13: e1005718. PMID 28972970 DOI: 10.1371/journal.pcbi.1005718 |
0.759 |
|
| 2017 |
Gatys LA, Ecker AS, Bethge M. Texture and art with deep neural networks. Current Opinion in Neurobiology. 46: 178-186. PMID 28926765 DOI: 10.1016/J.Conb.2017.08.019 |
0.797 |
|
| 2017 |
Franke K, Berens P, Schubert T, Bethge M, Euler T, Baden T. Inhibition decorrelates visual feature representations in the inner retina. Nature. PMID 28178238 DOI: 10.1038/Nature21394 |
0.591 |
|
| 2017 |
A Wallis TS, Tobias S, Bethge M, Wichmann FA. Detecting distortions of peripherally presented letter stimuli under crowded conditions. Attention, Perception & Psychophysics. PMID 28054276 DOI: 10.3758/S13414-016-1245-X |
0.716 |
|
| 2017 |
Wichmann FA, Janssen DHJ, Geirhos R, Aguilar G, Schütt HH, Maertens M, Bethge M. Methods and measurements to compare men against machines Electronic Imaging. 2017: 36-45. DOI: 10.2352/Issn.2470-1173.2017.14.Hvei-113 |
0.742 |
|
| 2017 |
Geirhos R, Janssen D, Schütt H, Bethge M, Wichmann F. Of Human Observers and Deep Neural Networks: A Detailed Psychophysical Comparison Journal of Vision. 17: 806. DOI: 10.1167/17.10.806 |
0.774 |
|
| 2017 |
Wallis T, Funke C, Ecker A, Gatys L, Wichmann F, Bethge M. Towards matching peripheral appearance for arbitrary natural images using deep features Journal of Vision. 17: 786. DOI: 10.1167/17.10.786 |
0.783 |
|
| 2017 |
Franke K, Berens P, Schubert T, Bethge M, Euler T, Baden T. Die Retina im Rausch der Kanäle Nature. 234: 411-412. DOI: 10.1055/S-0043-104423 |
0.517 |
|
| 2016 |
Mathis A, Rokni D, Kapoor V, Bethge M, Murthy VN. Reading Out Olfactory Receptors: Feedforward Circuits Detect Odors in Mixtures without Demixing. Neuron. 91: 1110-23. PMID 27593177 DOI: 10.1016/J.Neuron.2016.08.007 |
0.695 |
|
| 2016 |
Theis L, Berens P, Froudarakis E, Reimer J, Román Rosón M, Baden T, Euler T, Tolias AS, Bethge M. Benchmarking Spike Rate Inference in Population Calcium Imaging. Neuron. 90: 471-82. PMID 27151639 DOI: 10.1016/J.Neuron.2016.04.014 |
0.795 |
|
| 2016 |
Wallis TS, Bethge M, Wichmann FA. Testing models of peripheral encoding using metamerism in an oddity paradigm. Journal of Vision. 16: 4. PMID 26968866 DOI: 10.1167/16.2.4 |
0.812 |
|
| 2016 |
Ecker AS, Denfield GH, Bethge M, Tolias AS. On the Structure of Neuronal Population Activity under Fluctuations in Attentional State. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 36: 1775-89. PMID 26843656 DOI: 10.1523/Jneurosci.2044-15.2016 |
0.796 |
|
| 2016 |
Baden T, Berens P, Franke K, Román Rosón M, Bethge M, Euler T. The functional diversity of retinal ganglion cells in the mouse. Nature. PMID 26735013 DOI: 10.1038/Nature16468 |
0.581 |
|
| 2016 |
Gatys L, Ecker A, Bethge M. A Neural Algorithm of Artistic Style Journal of Vision. 16: 326. DOI: 10.1167/16.12.326 |
0.767 |
|
| 2016 |
Wallis T, Ecker A, Gatys L, Funke C, Wichmann F, Bethge M. Seeking summary statistics that match peripheral visual appearance using naturalistic textures generated by Deep Neural Networks Journal of Vision. 16: 230. DOI: 10.1167/16.12.230 |
0.789 |
|
| 2016 |
Hosseini R, Sra S, Theis L, Bethge M. Inference and mixture modeling with the Elliptical Gamma Distribution Computational Statistics and Data Analysis. 101: 29-43. DOI: 10.1016/J.Csda.2016.02.009 |
0.73 |
|
| 2015 |
Cadwell CR, Palasantza A, Jiang X, Berens P, Deng Q, Yilmaz M, Reimer J, Shen S, Bethge M, Tolias KF, Sandberg R, Tolias AS. Electrophysiological, transcriptomic and morphologic profiling of single neurons using Patch-seq. Nature Biotechnology. PMID 26689543 DOI: 10.1038/Nbt.3445 |
0.699 |
|
| 2015 |
Kümmerer M, Wallis TS, Bethge M. Information-theoretic model comparison unifies saliency metrics. Proceedings of the National Academy of Sciences of the United States of America. PMID 26655340 DOI: 10.1073/Pnas.1510393112 |
0.649 |
|
| 2015 |
Wallis T, Bethge M, Wichmann F. Metamers of the ventral stream revisited. Journal of Vision. 15: 554. PMID 26326242 DOI: 10.1167/15.12.554 |
0.811 |
|
| 2015 |
Gatys LA, Ecker AS, Tchumatchenko T, Bethge M. Synaptic unreliability facilitates information transmission in balanced cortical populations. Physical Review. E, Statistical, Nonlinear, and Soft Matter Physics. 91: 062707. PMID 26172736 DOI: 10.1103/Physreve.91.062707 |
0.771 |
|
| 2015 |
Gatys LA, Ecker AS, Tchumatchenko T, Bethge M. Synaptic unreliability facilitates information transmission in balanced cortical populations Physical Review E - Statistical, Nonlinear, and Soft Matter Physics. 91. DOI: 10.1103/PhysRevE.91.062707 |
0.754 |
|
| 2015 |
Gerhard HE, Theis L, Bethge M. Modeling Natural Image Statistics Biologically Inspired Computer Vision: Fundamentals and Applications. 53-80. DOI: 10.1002/9783527680863.ch4 |
0.795 |
|
| 2015 |
Sra S, Hosseini R, Theis L, Bethge M. Data modeling with the elliptical gamma distribution Journal of Machine Learning Research. 38: 903-911. |
0.688 |
|
| 2014 |
Froudarakis E, Berens P, Ecker AS, Cotton RJ, Sinz FH, Yatsenko D, Saggau P, Bethge M, Tolias AS. Population code in mouse V1 facilitates readout of natural scenes through increased sparseness. Nature Neuroscience. 17: 851-7. PMID 24747577 DOI: 10.1038/Nn.3707 |
0.802 |
|
| 2014 |
Ecker AS, Berens P, Cotton RJ, Subramaniyan M, Denfield GH, Cadwell CR, Smirnakis SM, Bethge M, Tolias AS. State dependence of noise correlations in macaque primary visual cortex. Neuron. 82: 235-48. PMID 24698278 DOI: 10.1016/J.Neuron.2014.02.006 |
0.791 |
|
| 2014 |
Lies JP, Häfner RM, Bethge M. Slowness and sparseness have diverging effects on complex cell learning. Plos Computational Biology. 10: e1003468. PMID 24603197 DOI: 10.1371/journal.pcbi.1003468 |
0.753 |
|
| 2014 |
Sinz FH, Lies JP, Gerwinn S, Bethge M. Natter: A Python natural image statistics toolbox Journal of Statistical Software. 61: 1-34. DOI: 10.18637/Jss.V061.I05 |
0.802 |
|
| 2014 |
Gerhard HE, Bethge M. Towards Rigorous Study of Artistic Style: A New Psychophysical Paradigm Art & Perception. 2: 23-44. DOI: 10.1163/22134913-00002010 |
0.62 |
|
| 2013 |
Chagas AM, Theis L, Sengupta B, Stüttgen MC, Bethge M, Schwarz C. Functional analysis of ultra high information rates conveyed by rat vibrissal primary afferents. Frontiers in Neural Circuits. 7: 190. PMID 24367295 DOI: 10.3389/Fncir.2013.00190 |
0.791 |
|
| 2013 |
Theis L, Chagas AM, Arnstein D, Schwarz C, Bethge M. Beyond GLMs: a generative mixture modeling approach to neural system identification. Plos Computational Biology. 9: e1003356. PMID 24278006 DOI: 10.3389/Conf.Fncom.2012.55.00080 |
0.78 |
|
| 2013 |
Sinz FH, Bethge M. What is the limit of redundancy reduction with divisive normalization? Neural Computation. 25: 2809-14. PMID 23895047 DOI: 10.1162/NECO_a_00505 |
0.693 |
|
| 2013 |
Sinz F, Bethge M. Temporal adaptation enhances efficient contrast gain control on natural images. Plos Computational Biology. 9: e1002889. PMID 23382664 DOI: 10.3389/Conf.Fncom.2012.55.00048 |
0.724 |
|
| 2013 |
Gerhard HE, Wichmann FA, Bethge M. How sensitive is the human visual system to the local statistics of natural images? Plos Computational Biology. 9: e1002873. PMID 23358106 DOI: 10.3389/Conf.Fncom.2012.55.00053 |
0.819 |
|
| 2013 |
Haefner RM, Gerwinn S, Macke JH, Bethge M. Inferring decoding strategies from choice probabilities in the presence of correlated variability. Nature Neuroscience. 16: 235-42. PMID 23313912 DOI: 10.1038/nn.3309 |
0.673 |
|
| 2013 |
Baden T, Berens P, Bethge M, Euler T. Spikes in mammalian bipolar cells support temporal layering of the inner retina. Current Biology : Cb. 23: 48-52. PMID 23246403 DOI: 10.1016/J.Cub.2012.11.006 |
0.564 |
|
| 2012 |
Theis L, Hosseini R, Bethge M. Mixtures of conditional Gaussian scale mixtures applied to multiscale image representations. Plos One. 7: e39857. PMID 22859943 DOI: 10.1371/Journal.Pone.0039857 |
0.763 |
|
| 2012 |
Berens P, Ecker AS, Cotton RJ, Ma WJ, Bethge M, Tolias AS. A fast and simple population code for orientation in primate V1. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 32: 10618-26. PMID 22855811 DOI: 10.1523/Jneurosci.1335-12.2012 |
0.81 |
|
| 2012 |
Putzeys T, Bethge M, Wichmann F, Wagemans J, Goris R. A new perceptual bias reveals suboptimal population decoding of sensory responses. Plos Computational Biology. 8: e1002453. PMID 22511853 DOI: 10.1371/journal.pcbi.1002453 |
0.731 |
|
| 2012 |
Gerhard H, Bethge M. Sensitivity to the local shape information of natural images Perception. 41: 217-217. DOI: 10.1177/03010066120410S101 |
0.637 |
|
| 2012 |
Haefner RM, Gerwinn S, Macke JH, Bethge M. Inferring decoding strategy from choice probabilities in the presence of noise correlations Nature Precedings. 7: 1-1. DOI: 10.1038/Npre.2012.7014.1 |
0.672 |
|
| 2012 |
Theis L, Sohl-Dickstein J, Bethge M. Training sparse natural image models with a fast Gibbs sampler of an extended state space Advances in Neural Information Processing Systems. 2: 1124-1132. |
0.783 |
|
| 2011 |
Ecker AS, Berens P, Tolias AS, Bethge M. The effect of noise correlations in populations of diversely tuned neurons. The Journal of Neuroscience : the Official Journal of the Society For Neuroscience. 31: 14272-83. PMID 21976512 DOI: 10.1523/Jneurosci.2539-11.2011 |
0.792 |
|
| 2011 |
Macke J, Berens P, Bethge M. Statistical analysis of multi-cell recordings: linking population coding models to experimental data. Frontiers in Computational Neuroscience. 5: 35. PMID 21847379 DOI: 10.3389/fncom.2011.00035 |
0.739 |
|
| 2011 |
Macke JH, Opper M, Bethge M. Common input explains higher-order correlations and entropy in a simple model of neural population activity. Physical Review Letters. 106: 208102. PMID 21668265 DOI: 10.1103/PhysRevLett.106.208102 |
0.686 |
|
| 2011 |
Gerwinn S, Macke JH, Bethge M. Reconstructing stimuli from the spike times of leaky integrate and fire neurons. Frontiers in Neuroscience. 5: 1. PMID 21390287 DOI: 10.3389/fnins.2011.00001 |
0.675 |
|
| 2011 |
Berens P, Ecker AS, Gerwinn S, Tolias AS, Bethge M. Reassessing optimal neural population codes with neurometric functions. Proceedings of the National Academy of Sciences of the United States of America. 108: 4423-8. PMID 21368193 DOI: 10.1073/Pnas.1015904108 |
0.788 |
|
| 2011 |
Macke JH, Gerwinn S, White LE, Kaschube M, Bethge M. Gaussian process methods for estimating cortical maps. Neuroimage. 56: 570-81. PMID 20472075 DOI: 10.1016/J.Neuroimage.2010.04.272 |
0.679 |
|
| 2011 |
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, et al. Gravitational Lensing Accuracy Testing 2010 (GREAT10) Challenge Handbook Annals of Applied Statistics. 5: 2231-2263. DOI: 10.1214/11-Aoas484 |
0.565 |
|
| 2011 |
Berens P, Ecker AS, Gerwinn S, Tolias AS, Bethge M. Optimal Population Coding, Revisited Nature Precedings. DOI: 10.1038/Npre.2011.5513.1 |
0.763 |
|
| 2011 |
Theis L, Gerwinn S, Sinz F, Bethge M. In all likelihood, deep belief is not enough Journal of Machine Learning Research. 12: 3071-3096. |
0.753 |
|
| 2010 |
Hosseini R, Sinz F, Bethge M. Lower bounds on the redundancy of natural images. Vision Research. 50: 2213-22. PMID 20705084 DOI: 10.1016/J.Visres.2010.07.025 |
0.699 |
|
| 2010 |
Gerwinn S, Macke JH, Bethge M. Bayesian inference for generalized linear models for spiking neurons. Frontiers in Computational Neuroscience. 4: 12. PMID 20577627 DOI: 10.3389/fncom.2010.00012 |
0.673 |
|
| 2010 |
Ecker AS, Berens P, Keliris GA, Bethge M, Logothetis NK, Tolias AS. Decorrelated neuronal firing in cortical microcircuits. Science (New York, N.Y.). 327: 584-7. PMID 20110506 DOI: 10.1126/Science.1179867 |
0.786 |
|
| 2010 |
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, et al. Results of the GREAT08 Challenge: an image analysis competition for cosmological lensing Monthly Notices of the Royal Astronomical Society. 405: 2044-2061. DOI: 10.1111/J.1365-2966.2010.16598.X |
0.544 |
|
| 2010 |
Sinz F, Bethge M. Lp-nested symmetric distributions Journal of Machine Learning Research. 11: 3409-3451. |
0.605 |
|
| 2009 |
Gerwinn S, Macke J, Bethge M. Bayesian population decoding of spiking neurons. Frontiers in Computational Neuroscience. 3: 21. PMID 20011217 DOI: 10.3389/neuro.10.021.2009 |
0.691 |
|
| 2009 |
Eichhorn J, Sinz F, Bethge M. Natural image coding in V1: how much use is orientation selectivity? Plos Computational Biology. 5: e1000336. PMID 19343216 DOI: 10.1371/journal.pcbi.1000336 |
0.724 |
|
| 2009 |
Macke JH, Berens P, Ecker AS, Tolias AS, Bethge M. Generating spike trains with specified correlation coefficients. Neural Computation. 21: 397-423. PMID 19196233 DOI: 10.1162/Neco.2008.02-08-713 |
0.79 |
|
| 2009 |
Sinz F, Bethge M. The conjoint effect of divisive normalization and orientation selectivity on redundancy reduction in natural images Advances in Neural Information Processing Systems 21 - Proceedings of the 2008 Conference. 1521-1528. DOI: 10.3389/conf.neuro.10.2008.01.116 |
0.674 |
|
| 2009 |
Macke JH, Gerwinn S, White LE, Kaschube M, Bethge M. Bayesian estimation of orientation preference maps Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1195-1203. DOI: 10.3389/Conf.Neuro.06.2009.03.310 |
0.607 |
|
| 2009 |
Sinz F, Gerwinn S, Bethge M. Characterization of the p-generalized normal distribution Journal of Multivariate Analysis. 100: 817-820. DOI: 10.1016/J.Jmva.2008.07.006 |
0.655 |
|
| 2009 |
Bethge M, Berens P. Near-maximum entropy models for binary neural representations of natural images Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. |
0.603 |
|
| 2009 |
Berens P, Gerwinn S, Ecker AS, Bethge M. Neurometric function analysis of population codes Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 90-98. |
0.77 |
|
| 2009 |
MacKe JH, Zeck G, Bethge M. Receptive fields without spike-triggering Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. |
0.59 |
|
| 2009 |
Gerwinn S, Berens P, Bethge M. A joint maximum-entropy model for binary neural population patterns and continuous signals Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 620-628. |
0.537 |
|
| 2009 |
Sinz F, Simoncelli EP, Bethge M. Hierarchical modeling of local image features through L p-nested symmetric distributions Advances in Neural Information Processing Systems 22 - Proceedings of the 2009 Conference. 1696-1704. |
0.666 |
|
| 2009 |
Gerwinn S, MacKe JH, Seeger M, Bethge M. Bayesian inference for spiking neuron models with a sparsity prior Advances in Neural Information Processing Systems 20 - Proceedings of the 2007 Conference. |
0.631 |
|
| 2008 |
Goodhill G, Baker C, Balasubramanian V, Bazhenov M, Beck J, Becker S, Bethge M, Boahen K, Boden M, Bonin V, Bouret S, Fairhall A, Flash T, French R, Gillies A, et al. Network: Computation in Neural Systems: Editorial Network: Computation in Neural Systems. 19: 1-2. DOI: 10.1080/09548980801915409 |
0.723 |
|
| 2007 |
Bethge M, Wiecki TV, Wichmann FA. The independent components of natural images are perceptually dependent Proceedings of Spie - the International Society For Optical Engineering. 6492. DOI: 10.1117/12.711133 |
0.787 |
|
| 2007 |
Bethge M, Gerwinn S, Macke JH. Unsupervised learning of a steerable basis for invariant image representations Proceedings of Spie - the International Society For Optical Engineering. 6492. DOI: 10.1117/12.711119 |
0.634 |
|
| 2006 |
Bethge M. Factorial coding of natural images: how effective are linear models in removing higher-order dependencies? Journal of the Optical Society of America. a, Optics, Image Science, and Vision. 23: 1253-68. PMID 16715144 DOI: 10.1364/JOSAA.23.001253 |
0.339 |
|
| 2004 |
Silberberg G, Bethge M, Markram H, Pawelzik K, Tsodyks M. Dynamics of population rate codes in ensembles of neocortical neurons. Journal of Neurophysiology. 91: 704-9. PMID 14762148 DOI: 10.1152/Jn.00415.2003 |
0.612 |
|
| 2003 |
Bethge M, Rotermund D, Pawelzik K. Optimal neural rate coding leads to bimodal firing rate distributions. Network (Bristol, England). 14: 303-19. PMID 12790186 DOI: 10.1088/0954-898X/14/2/307 |
0.63 |
|
| 2003 |
Bethge M, Rotermund D, Pawelzik K. Second order phase transition in neural rate coding: binary encoding is optimal for rapid signal transmission. Physical Review Letters. 90: 088104. PMID 12633465 DOI: 10.1103/Physrevlett.90.088104 |
0.603 |
|
| 2003 |
Bethge M, Rotermund D, Pawelzik K. Binary tuning is optimal for neural rate coding with high temporal resolution Advances in Neural Information Processing Systems. |
0.557 |
|
| 2002 |
Bethge M, Rotermund D, Pawelzik K. Optimal short-term population coding: when Fisher information fails. Neural Computation. 14: 2317-51. PMID 12396565 DOI: 10.1162/08997660260293247 |
0.609 |
|
| 2002 |
Bethge M, Pawelzik K. Population coding with unreliable spikes Neurocomputing. 44: 323-328. DOI: 10.1016/S0925-2312(02)00359-4 |
0.602 |
|
| 2001 |
Benda J, Bethge M, Hennig M, Pawelzik K, Herz AVM. Spike-frequency adaptation: Phenomenological model and experimental tests Neurocomputing. 38: 105-110. DOI: 10.1016/S0925-2312(01)00545-8 |
0.717 |
|
| 2001 |
Bethge M, Pawelzik K. Synchronous inhibition as a mechanism for unbiased selective gain control Neurocomputing. 38: 483-488. DOI: 10.1016/S0925-2312(01)00373-3 |
0.607 |
|
| 1999 |
Bethge M, Pawelzik K, Geisel T. Brief pauses as signals for depressing synapses Neurocomputing. 26: 1-7. DOI: 10.1016/S0925-2312(99)00082-X |
0.576 |
|
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