Publikationen von M Bethge

Silberberg, G.; Bethge, M.; Markram, H.; Pawelzik, K.; Tsodyks, M.: Dynamics of Population Rate Codes in Ensembles of Neocortical Neurons. Journal of Neurophysiology 91 (2), S. 704 - 709 (2004)

Bethge, M.; Rotermund, D.; Pawelzik, K.: Optimal neural rate coding leads to bimodal firing rate distributions. Network: Computation in Neural Systems 14 (2), S. 303 - 319 (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 (8), 088104, S. 1 - 4 (2003)

Bethge, M.; Rotermund, D.; Pawelzik, K.: Optimal Short-Term Population Coding: When Fisher Information Fails. Neural computation 14 (10), S. 2317 - 2351 (2002)

Bethge, M.; Pawelzik, K.: Population coding with unreliable spikes. Neurocomputing 44-46, S. 323 - 328 (2002)

Pawelzik, K.; Bethge, M.: Geheimsprache der Neuronen. Gerhin & Geist 2002 (2), S. 80 - 87 (2002)

Benda, J.; Bethge, M.; Henning, M.; Pawelzik, K.; Herz, A.: Spike-frequency adaptation: Phenomenological model and experimental tests. Neurocomputing 38-40, S. 105 - 110 (2001)

Bethge, M.; Pawelzik, K.: Synchronous inhibition as a mechanism for unbiased selective gain control. Neurocomputing 38-40, S. 483 - 488 (2001)

Bethge, M.; Pawelzik, K.; Geisel, T.: Brief pauses as signals for depressing synapses. Neurocomputing 26-27, S. 1 - 7 (1999)

Bethge, M.: Efficient Population Coding. In: Encyclopedia of Computational Neuroscience, S. 1257 - 1264 (Hg. Jaeger, D.; Jung, R.). Springer, New York, NY, USA (2022)

Bethge, M.: Efficient Population Coding. In: Encyclopedia of Computational Neuroscience, S. 1063 - 1070 (Hg. Jaeger, D.; Jung, R.). Springer, New York, NY, USA (2015)

Deep Neural Networks: A New Tool for Understanding the Brain. Satellite Workshop "Deep Neural Networks": Bernstein Conference 2016, Berlin, Germany, 20. September 2016 - 21. September 2016. (2016)

Brendel, W.; Rauber, J.; Kümmerer, M.; Ustyuzhaninov, I.; Bethge, M.: Accurate, reliable and fast robustness evaluation. In: Advances in Neural Information Processing Systems 32, S. 12817 - 12827 (Hg. Wallach, H.; Larochelle, H.; Beygelzimer , A.; d'Alché-Buc, F.; Fox, E. et al.). Thirty-third Conference on Neural Information Processing Systems (NeurIPS 2019), Vancouver, Canada, 09. Dezember 2019 - 13. Dezember 2019. Curran, Red Hook, NY, USA (2020)

Geirhos, R.; Medina Temme, C.; Rauber, J.; Schuett, H.; Bethge, M.; Wichmann, F.: Generalisation in humans and deep neural networks. In: Advances in Neural Information Processing Systems 31, S. 7549 - 7561 (Hg. Bengio, S.; Wallach, H.; Larochelle, H.; Grauman, K.; Cesa-Bianchi, N. et al.). Thirty-second Annual Conference on Neural Information Processing Systems 2018 (NeurIPS 2018), Montréal, Canada, 03. Dezember 2018 - 08. Dezember 2018. Curran, Red Hook, NY, USA (2019)

Ecker, A.; Sinz, F.; Froudarakis, E.; Fahey, P.; Cadena, S.; Walker, E.; Cobos, E.; Reimer, J.; Tolias, A.; Bethge, M.: A rotation-equivariant convolutional neural network model of primary visual cortex. In: Seventh International Conference on Learning Representations (ICLR 2019), S. 1 - 11. Seventh International Conference on Learning Representations (ICLR 2019), New Orleans, LA, USA, 06. Mai 2019 - 09. Mai 2019. (2019)

Schott, L.; Rauber, J.; Bethge, M.; Brendel, W.: Towards the First Adversarially Robust Neural Network Model on MNIST. In: Seventh International Conference on Learning Representations (ICLR 2019), S. 1 - 16. Seventh International Conference on Learning Representations (ICLR 2019), New Orleans, LA, USA, 06. Mai 2019 - 09. Mai 2019. (2019)

Michaelis, C.; Bethge, M.; Ecker, A.: One-Shot Segmentation in Clutter. In: International Conference on Machine Learning, 10-15 July 2018, Stockholmsmässan, Stockholm Sweden, S. 3549 - 3558 (Hg. Dy, J.; Krause, A.). 35th International Conference on Machine Learning (ICML 2018), Stockholm, Sweden, 10. Juli 2018 - 15. Juli 2018. International Machine Learning Society, Madison, WI, USA (2018)

Klindt, D.; Ecker, A.; Euler, T.; Bethge, M.: Neural system identification for large populations separating "what" and "where". In: Advances in Neural Information Processing Systems 30, S. 3507 - 3517 (Hg. Guyon, I.; von Luxburg, U.; Bengio, S.; Wallach, H.; Fergus, R. et al.). Thirty-First Conference on Neural Information Processing Systems (NIPS 2017), Long Beach, CA, USA, 04. Dezember 2017 - 09. Dezember 2017. Curran, Red Hook, NY, USA (2018)

Kümmerer, M.; Wallis, T.; Gatys, L.; Bethge, M.: Understanding Low- and High-Level Contributions to Fixation Prediction. In: 19th IEEE International Conference on Computer Vision (ICCV 2017), S. 4799 - 4808. 19th IEEE International Conference on Computer Vision (ICCV 2017), Venezia, Italy. IEEE, Piscataway, NJ, USA (2017)

Gatys, L.; Ecker, A.; Bethge, M.; Hertzmann, A.; Shechtman, B.: Controlling Perceptual Factors in Neural Style Transfer. In: 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), S. 3730 - 3738. 30th IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2017), Honolulu, HI, USA. IEEE, Piscataway, NJ, USA (2017)