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Zeitschriftenartikel (67)

  1. 61.
    Zeitschriftenartikel
    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)
  2. 62.
    Zeitschriftenartikel
    Bethge, M.; Rotermund, D.; Pawelzik, K.: Optimal Short-Term Population Coding: When Fisher Information Fails. Neural computation 14 (10), S. 2317 - 2351 (2002)
  3. 63.
    Zeitschriftenartikel
    Bethge, M.; Pawelzik, K.: Population coding with unreliable spikes. Neurocomputing 44-46, S. 323 - 328 (2002)
  4. 64.
    Zeitschriftenartikel
    Pawelzik, K.; Bethge, M.: Geheimsprache der Neuronen. Gerhin & Geist 2002 (2), S. 80 - 87 (2002)
  5. 65.
    Zeitschriftenartikel
    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)
  6. 66.
    Zeitschriftenartikel
    Bethge, M.; Pawelzik, K.: Synchronous inhibition as a mechanism for unbiased selective gain control. Neurocomputing 38-40, S. 483 - 488 (2001)
  7. 67.
    Zeitschriftenartikel
    Bethge, M.; Pawelzik, K.; Geisel, T.: Brief pauses as signals for depressing synapses. Neurocomputing 26-27, S. 1 - 7 (1999)

Buchkapitel (3)

  1. 68.
    Buchkapitel
    Bethge, M.: Efficient Population Coding. In: Encyclopedia of Computational Neuroscience, S. 1063 - 1070 (Hg. Jaeger, D.; Jung, R.). Springer, New York, NY, USA (2015)
  2. 69.
    Buchkapitel
    Bethge, M.: Efficient Population Coding. In: Encyclopedia of Computational Neuroscience, S. 1 - 9 (Hg. Jaeger R. Jung, D.). Springer, New York, NY, USA (2014)
  3. 70.
    Buchkapitel
    Bethge, M.: A rôle for the ongoing activity: Unbiased selective gain control with synchronous inhibition. In: Modulation of Neuronal Signalling: Implications for Visual Perception, S. 1 - 16. NATO Science Program, _ (2001)

Konferenzbeitrag (28)

  1. 71.
    Konferenzbeitrag
    Brendel, W.; Rauber, J.; Kümmerer, M.; Ustyuzhaninov, I.; Bethge, M.: Accurate, reliable and fast robustness evaluation. In: Advances in Neural Information Processing Systems 32 (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. (2019)
  2. 72.
    Konferenzbeitrag
    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)
  3. 73.
    Konferenzbeitrag
    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). Seventh International Conference on Learning Representations (ICLR 2019), New Orleans, LA, USA, 06. Mai 2019 - 09. Mai 2019. (2019)
  4. 74.
    Konferenzbeitrag
    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). Seventh International Conference on Learning Representations (ICLR 2019), New Orleans, LA, USA, 06. Mai 2019 - 09. Mai 2019. (2019)
  5. 75.
    Konferenzbeitrag
    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)
  6. 76.
    Konferenzbeitrag
    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)
  7. 77.
    Konferenzbeitrag
    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)
  8. 78.
    Konferenzbeitrag
    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)
  9. 79.
    Konferenzbeitrag
    Gatys, L.; Ecker, A.; Bethge, M.: Image Style Transfer Using Convolutional Neural Networks. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), S. 2414 - 2423. IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016), Las Vegas, NV, USA. IEEE, Piscataway, NJ, USA (2016)
  10. 80.
    Konferenzbeitrag
    Theis, L.; van den Oord, A.; Bethge, M.: A note on the evaluation of generative models. In: International Conference on Learning Representations (ICLR 2016), S. 1 - 10. International Conference on Learning Representations (ICLR 2016), San Juan, Puerto Rico. (2016)
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