Publications

For the most recent list of publications, see also google scholar.

Preprints and manuscripts under review

Gupta, P., & Dobs, K. (2023). Human-like face pareidolia emerges in deep neural networks optimized for face and object recognition (under review).

Peer-reviewed articles

Dobs, K., Yuan, J., Martinez, J., & Kanwisher, N. (2023). Behavioral signatures of face perception emerge in deep neural network optimized for face recognition. Proceedings of the National Academy of Sciences: USA, 120(32), e2220642120.

Kanwisher, N., Khosla, M., & Dobs, K. (2023). Using artificial neural networks to ask 'why' questions of minds and brains. Trends in Neurosciences, 46(3), 240-254.

Kanwisher, N., Gupta, P., & Dobs, K. (2023). CNNs Reveal the Computational Implausibility of the Expertise Hypothesis. iScience, 26(2), 105976.

Dobs, K., Martinez, J., Kell, A., & Kanwisher, N. (2022). Brain-like functional specialization emerges spontaneously in deep neural networks. Science Advances, 8(11), eabl8913.

Dobs, K., Isik, L., Pantazis, D., & Kanwisher, N. (2019). How face perception unfolds over time. Nature Communications, 10, 1258.

Dobs, K., Bülthoff, I., & Schultz, J. (2018). Use and usefulness of dynamic face stimuli for face perception studies – a review of behavioral findings and methodology. Frontiers in Psychology, 9, 1355.

Dobs, K., Schultz, J., Bülthoff, I., & Gardner, J.L. (2018). Task-dependent enhancement of facial expression and identity representations in human cortex. NeuroImage, 172, 689-702.

Dobs, K., Ma, W. J., & Reddy, L. (2017). Near-optimal integration of facial form and motion. Scientific Reports, 7(1):11002, 1-9.

Dobs, K., Bülthoff, I., & Schultz, J. (2016). Identity information content depends on the type of facial movement. Scientific Reports, 6(34301), 1-9.

Dobs, K., Bülthoff, I., Breidt, M., Vuong, Q., Curio, C., & Schultz, J. (2014). Quantifying human sensitivity to spatio-temporal information in dynamic faces. Vision Research, 100, 78-87.

Peer-reviewed conference articles

Kar, K., Kanwisher, N., & Dobs, K. (2023). Deep neural networks optimized for both face detection and face discrimination most accurately predict face-selective neurons in macaque inferior temporal cortex. Cognitive Computational Neuroscience (CCN). Oxford, UK.

Yilmaz, H., Muellner, M., Tenenbaum, J. B., Dobs, K., & Yildirim, I. (2023). Efficient inverse graphics with a differentiable generative model explains robustness of perception to unusual viewing angles. Cognitive Computational Neuroscience (CCN). Oxford, UK.

Dobs, K., Kell, A., Palmer, P. I., Cohen, M., & Kanwisher, N (2019). Why Are Face and Object Processing Segregated in the Human Brain? Testing Computational Hypotheses with Deep Convolutional Neural Networks. Cognitive Computational Neuroscience (CCN). Berlin, Germany.

Dobs, K., Isik, L., Pantazis, D., & Kanwisher, N. (2018). Familiarity affects early perceptual stages of face processing. Cognitive Computational Neuroscience (CCN), Philadelphia, PA, USA.

Other publications

Rothkopf, C., Bremmer, F., Fiehler, K., Dobs., K., & Triesch, J. (2023). Models of vision need some action. Behavioral and Brain Sciences, 46, e405.

Conference contributions

Nizamoglu, H., & Dobs, K. (2024). Idiosyncratic Facial Motions: Uncovering Identity Information in Facial Movements through a Landmark-Based Analysis. 24th Annual Meeting of the Vision Sciences Society (VSS), St. Pete Beach, Florida, USA. (accepted).

Yilmaz, H., Muellner, M., Tenenbaum, J. B., Dobs, K., & Yildirim, I. (2024). Efficient Inverse Graphics with Differentiable Generative Models Explains Trial-level Face Discriminations and Robustness of Face Perception to Unusual Viewing Angles. 24th Annual Meeting of the Vision Sciences Society (VSS), St. Pete Beach, Florida, USA. (accepted).

Kar, K., Kanwisher, N., & Dobs, K. (2023). Deep neural networks optimized for both face detection and face discrimination most accurately predict face-selective neurons in macaque inferior temporal cortex. Society for Neuroscience (SfN). Washington, D.C., USA.

Giri, A., Smith, G., Maloyan, P., Dobs, K., Adler, A., & Pantazis, D. (2023). Temporal Dynamics of Age, Gender, and Identity Representations Invariant to Head Views for Familiar Faces. MEG North America Workshop, Bethesda, MD, USA.

Sander, S. & Dobs, K. (2023). Inversion Effects in Humans and Deep Neural Networks. 48. Jahrestagung Psychologie & Gehirn (PuG). Tuebingen, Germany.

Dobs, K. (2023). Using deep neural network to probe possible origins of human face perception. 23rd Annual Meeting of the Vision Sciences Society (VSS), St. Pete Beach, Florida, USA.

Tasilyurt, S., de Haas, B., & Dobs, K. (2023). Scene Previews Faciliate Face Detection Behavior. 23rd Annual Meeting of the Vision Sciences Society (VSS), St. Pete Beach, Florida, USA.

Tasilyurt, S., de Haas, B., & Dobs, K. (2022). What makes humans detect a face? European Conference on Visual Perception (ECVP).

Gupta, P., Kanwisher, N., & Dobs, K. (2022). CNNs Reveal the Computational Implausibility of the Expertise Hypothesis. European Conference on Visual Perception (ECVP).

Egger, B., Sutherland, S., Medin, S., Dobs, K., & Tenenbaum, J. (2021). Identity Expression Ambiguity. Bernstein Conference (online).

Gupta, P. & Dobs, K. (2021). A computational explanation for the unreasonable human ability to detect faces in things. European Conference on Visual Perception (ECVP).

Dobs, K., Yuan, J., Martinez, J., Cohen, M., & Kanwisher, N. (2021). Using task-optimized neural networks to understand how experience might shape human face perception. Tagung experimentell arbeitender Psychologen (TeaP), Ulm, Germany.

Dobs, K., Yuan, J., Martinez, J., Cohen, M., & Kanwisher, N. (2021). Using task-optimized neural networks to understand how experience might shape human face perception. Virtual meeting of the Vision Sciences Society (V-VSS).

Dobs, K., Kell, A., Martinez, J., Cohen, M., & Kanwisher, N. (2020). Using task-optimized neural networks to understand why brains have specialized processing for faces. 20th Annual Meeting of the Vision Sciences Society (V-VSS).

Dobs, K., Kell, A., Martinez, J., Cohen, M., & Kanwisher, N. (2020). Using task-optimized neural networks to understand why brains have specialized processing for faces. Computational Systems Neuroscience (COSYNE). Denver, Colorado, USA.

Dobs, K., Palmer, P. I., Yuan, J., Mohsenzadeh, Y., Oliva, A., & Kanwisher, N. (2019). Effects of face familiarity in humans and deep neural networks. 48th European Conference on Visual Perception (ECVP). Leuven, Belgium.

Dobs, K., Beeler, D., Berry, I., Reddy, L. (2019). The neural substrates of identity perception from face movements. 48th European Conference on Visual Perception (ECVP). Leuven, Belgium.

Dobs, K., Isik, L., Pantazis, D., & Kanwisher, N. (2018). MEG decoding reveals early representations of face identity, age and gender that are enhanced by familiarity. 48th Meeting of the Society for Neuroscience (SfN), San Diego, California, USA.

Dobs, K., Isik, L., Pantazis, D., & Kanwisher, N. (2018). Rapid decoding of face identity, familiarity, gender and age. 18th Annual Meeting of the Vision Sciences Society (VSS), St. Pete Beach, Florida, USA, Journal of Vision, 18(10), 1081.

Dobs, K., Bülthoff, I., & Reddy, L. (2016). Dynamic reweighting of facial form and motion information during face recognition. European Conference on Visual Perception (ECVP), Barcelona, Spain, Perception, 45(ECVP Abstract Supplement), 87-88.

Dobs, K., Bülthoff, I., & Reddy, L. (2016). Optimal integration of facial form and motion during face recognition. 16th Annual Meeting of the Vision Sciences Society (VSS), St. Pete Beach, Florida, USA, Journal of Vision, 16(12), 925.

Dobs, K., Schultz, J., Bülthoff, I., & Gardner, J.L. (2015). Independent control of cortical representations for expression and identity of dynamic faces. 15th Annual Meeting of the Vision Sciences Society (VSS), St. Pete Beach, Florida, USA, Journal of Vision, 15(12), 684.

Dobs, K., Schultz, J., Bülthoff, I., & Gardner, J.L. (2013). Attending to expression or identity of dynamic faces engages different cortical areas. 43rd Meeting of the Society for Neuroscience (SfN), San Diego, California, USA.

Dobs, K., Bülthoff, I., Breidt, M., Vuong, Q., Curio, C., & Schultz, J. (2013). Quantifying human sensitivity to spatio-temporal information in dynamic faces. European Conference on Visual Perception (ECVP), Bremen, Germany, Perception, 42(ECVP Abstract Supplement), 197.

Dobs, K., Bülthoff, I., Curio, C., & Schultz, J. (2012). Investigating factors influencing the perception of identity from facial motion. 12th Annual Meeting of the Vision Sciences Society (VSS). Journal of Vision, 12(9), 35.

Dobs, K., Bülthoff, I., Breidt, M., Vuong, Q., Curio, C., & Schultz, J. (2011). Investigating idiosyncratic facial dynamics with motion retargeting. European Conference on Visual Perception (ECVP), Toulouse, France, Perception, 42(ECVP Abstract Supplement), 197.

Dobs, K., Jost, K., & Rösler, F. (2008). Electrophysiological Correlates of Learning in a Transitive Inference Paradigm. 50. Tagung experimentell arbeitender Psychologen (TeaP 2008).