Dobs, K, Yuan, J, Martinez, J, & Kanwisher, N (2023). Behavioral signatures of face perception emerge in deep neural networks optimized for face recognition. Proceedings of the National Academy of Sciences, 120(32), e2220642120. DOI: 10.1073/pnas.2220642120
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. DOI: 10.1016/j.visres.2014.04.009
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. DOI: 10.3389/fpsyg.2018.01355
Dobs K, Bülthoff I, & Schultz J (2016). Identity information content depends on the type of facial movement. Scientific Reports, 6(34301), 1-9. DOI: 10.1038/srep34301
Dobs K, Martinez J, Kell A, & Kanwisher N (2022). Brain-like functional specialization merges spontaneously in deep neural networks. Science Advances, 8(11), eabl8913. DOI: 10.1126/sciadv.abl8913
Dobs K, Isik L, Pantazis D, & Kanwisher N (2019). How face perception unfolds over time. Nature Communications, 10, 1258. DOI: 10.1038/s41467-019-09239-1
Dobs K, Ma WJ, & Reddy L (2017). Near-optimal integration of facial form and motion. Scientific Reports, 7(1):11002, 1-9. DOI: 10.1038/s41598-017-10885-y
Dobs K, Schultz J, Bülthoff I, & Gardner JL (2018). Task-dependent enhancement of facial expression and identity representations in human cortex. NeuroImage, 172, 689-702. DOI: 10.1016/j.neuroimage.2018.02.013
Kanwisher N, Gupta P, & Dobs K (2023). CNNs reveal the Computational Implausibility of the Expertise Hypothesis. iScience, 26(2), 105976. DOI: 10.1016/j.isci.2023.105976
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. DOI: 10.1016/j.tins.2022.12.008
