Publications of M Bethge

Bethge, M.; Kayser, C.: Do We Know What the Early Visual System Computes? 7th Meeting of the German Neuroscience Society, 31st Göttingen Neurobiology Conference, Göttingen, Germany (2007)

Bethge, M.: What is the goal of early visual processing? Universität Osnabrück: Institute of Cognitive Science Colloquium, Osnabrück, Germany (2006)

Geirhos, R.; Rubisch, P.; Rauber, J.; Medina Temme, C.; Michaelis, C.; Brendel, W.; Bethge, M.; Wichmann, F.: Inducing a human-like shape bias leads to emergent human-level distortion robustness in CNNs. Nineteenth Annual Meeting of the Vision Sciences Society (VSS 2019), St. Pete Beach, FL, USA (2019)

Michaelis, C.; Weller, M.; Funke, C.; Ecker, A.; Wallis , T.; Bethge, M.: Comparing Search Strategies of Humans and Machines in Clutter. Nineteenth Annual Meeting of the Vision Sciences Society (VSS 2019), St. Pete Beach, FL, USA (2019)

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. 18th Annual Meeting of the Vision Sciences Society (VSS 2018), St. Pete Beach, FL, USA (2018)

Mathis, A.; Mamidanna, P.; Abe, T.; Cury, K.; Murthy, V.; Mathis, M.; Bethge, M.: Markerless tracking of user-defined anatomical features with deep learning. CSF Conference: Hand, Brain and Technology: The Somatosensory System (HBT 2018), Monte Verità, Switzerland (2018)

Cotton, R.; Ecker, A.; Froudarakis, E.; Berens, P.; Bethge, M.; Saggau, P.; Tolias, A.: Scaling of information in large sensory populations. AREADNE 2018: Research in Encoding And Decoding of Neural Ensembles, Santorini, Greece (2018)

Klindt, D.; Ecker, A.; Euler, T.; Bethge, M.: Neural system identification for large populations: Separating what and where. AREADNE 2018: Research in Encoding And Decoding of Neural Ensembles, Santorini, Greece (2018)

Mamidanna, P.; Michaelis, C.; Mathis, A.; Bethge, M.: 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 (2018)

Mathis, M.; Mathis, A.; Mamidanna, P.; Abe, T.; Murthy, V.; Bethge, M.: 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 (2018)

Wallis, T.; Funke, C.; Ecker, A.; Gatys, L.; Wichmann, F.; Bethge, M.: 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 (2017)

Klindt, D.; Ecker, A.; Euler, T.; Bethge, M.: Neural system identification for large populations separating “what” and “where”. Bernstein Conference 2017, Berlin, Germany (2017)

Vinogradov, O.; Ecker, A.; Denfield, G.; Tolias, A.; Bethge, M.: Mixed latent variable model of attention in V1. Bernstein Conference 2017, Berlin, Germany (2017)

Geirhos, R.; Jannsen, D.; Schütt, H.; Bethge, M.; Wichmann, F.: 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 (2017)

Kümmerer, M.; Wallis, T.; Bethge, M.: 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 (2017)

Wallis, T.; Funke, C.; Ecker, A.; Gatys, L.; Wichmann, F.; Bethge, M.: 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 (2017)

Berens, P.; Theis, L.; Stone, J.; Sofroniew, N.; Tolias, A.; Bethge, M.; Freeman, J.: Standardizing and benchmarking data analysis for calcium imaging. Computational and Systems Neuroscience Meeting (COSYNE 2017), Salt Lake City, UT, USA (2017)

Cadena, S.; Ecker, A.; Denfield, G.; Walker, E.; Tolias, A.; Bethge, M.: A goal-driven deep learning approach for V1 system identification. Computational and Systems Neuroscience Meeting (COSYNE 2017), Salt Lake City, UT, USA (2017)

Mathis, A.; Wei, A.; Ding, A.; Bethge, M.; Murthy, V.: Boosting olfactory cocktail-party performance by semi-supervised learning in mice. Computational and Systems Neuroscience Meeting (COSYNE 2017), Salt Lake City, UT, USA (2017)

Kümmerer, M.; Wallis, T.; Bethge, M.: DeepGaze II: Explaining nearly all information in image-based saliency using features trained on object detection. Bernstein Conference 2016, Berlin, Germany (2016)