Highlighted Publications

Raviv, L., Lupyan, G., Green, S. C. (in press). How variability shapes learning and generalization. Trends in Cognitive Science. doi:10.1016/j.tics.2022.03.007

Raviv, L., & Kirby, S. (in press). Self-Domestication and the cultural evolution of language. Oxford Handbook of Cultural Evolution

Liu, M., Duan, Y., Ince, R. A. A., Chen, C., Garrod, O. G. B., Schyns, P. G., & Jack, R. E. (2022). Facial expressions elicit multiplexed perceptions of emotion categories and dimensions. Current Biology, 32(1), 200-209. https://doi.org/10.1016/j.cub.2021.10.035

Tan, Y., Rérolle, S., Lalitharatne, T. D., Van Zalk, N., Jack, R. E., & Nanayakkara, T. (2022). Simulating dynamic facial expressions of pain from visuo-haptic interactions with a robotic patient. Scientific Reports https://doi.org/10.1038/s41598-022-08115-1

Zhan, J., Liu, M., Garrod, O.G.B., Daube, C., Ince, R. A. A., Jack, R. E., Schyns, P. G. (2021). Modelling individual preferences reveals that face beauty is not universally perceived across cultures. Current Biology, 31(10), 2243–2252.

Cross, E. S., & Ramsey, R. (2021). Mind Meets Machine: Towards a Cognitive Science of Human-Machine Interactions. Trends in cognitive sciences, 25(3), 200–212. https://doi.org/10.1016/j.tics.2020.11.009

Raviv, L., de Heer Kloots, M., & Meyer, A. (2021). What makes a language easy to learn? A preregistered study on how systematic structure and community size affect language learnability. Cognition, 210, 104620. doi:10.1016/j.cognition.2021.104620

Henschel, A., Hortensius, R., & Cross, E. S. (2020). Social Cognition in the Age of Human-Robot Interaction. Trends in neurosciences, 43(6), 373–384. https://doi.org/10.1016/j.tins.2020.03.013

Orlandi, A., Cross, E. S., & Orgs, G. (2020). Timing is everything: Dance aesthetics depend on the complexity of movement kinematics. Cognition, 205, 104446. https://doi.org/10.1016/j.cognition.2020.104446

Raviv, L., Meyer, A., & Lev-Ari, S. (2020). The role of social network structure in the emergence of linguistic structure. Cognitive Science, 44(8), e12876. doi:10.1111/cogs.12876Raviv, L., Meyer, A., Lev-Ari, S. (2019b). Larger communities create more systematic languages. Proceedings of the Royal Society B: Biological Science, 286(1907). doi:10.1098/rspb.2019.1262

Cross, E. S., Riddoch, K. A., Pratts, J., Titone, S., Chaudhury, B., & Hortensius, R. (2019). A neurocognitive investigation of the impact of socializing with a robot on empathy for pain. Philosophical transactions of the Royal Society of London. Series B, Biological sciences, 374(1771), 20180034. https://doi.org/10.1098/rstb.2018.0034

Williams, E. H., Cristino, F., & Cross, E. S. (2019). Human body motion captures visual attention and elicits pupillary dilation. Cognition, 193, 104029. https://doi.org/10.1016/j.cognition.2019.104029

Raviv, L., Meyer, A., Lev-Ari, S. (2019a). Compositional structure can emerge without generational transmission. Cognition, 182, 151-164. doi:10.1016/j.cognition.2018.09.010

Barrett, L. F., Adolphs, R., Marsella, S., Martinez, A. M., & Pollak, S. D. (2019). Emotional expressions reconsidered: Challenges to inferring emotion from human facial movements. Psychological science in the public interest20(1), 1-68.

Chen, C., Crivelli, C., Garrod, O. G. B., Schyns, P. G., Fernández-Dols, J-M., & Jack, R. E. (2018). Distinct facial expressions represent pain and pleasure across cultures. Proceedings of the National Academy of Science of the USA, 115(43), E10013–E10021. https://doi.org/10.1073/pnas.1807862115

Jack, R. E., Crivelli, C., & Wheatley, T. (2018). Data-driven methods to diversify knowledge of human psychology. Trends in Cognitive Sciences, 22(1), 1–5. https://doi.org/10.1016/j.tics.2017.10.002

Apšvalka, D., Cross, E. S., & Ramsey, R. (2018). Observing Action Sequences Elicits Sequence-Specific Neural Representations in Frontoparietal Brain Regions. The Journal of neuroscience : the official journal of the Society for Neuroscience, 38(47), 10114–10128. https://doi.org/10.1523/JNEUROSCI.1597-18.2018

Raviv, L., & Arnon, I. (2018a). Systematicity, but not compositionality: Examining the emergence of linguistic structure in children and adults using iterated learning. Cognition, 181, 160-173. doi:10.1016/j.cognition.2018.08.011

Raviv, L., & Arnon, I. (2018b). The developmental trajectory of children’s auditory and visual statistical learning abilities: Modality-based differences in the effect of age. Developmental Science. 21(4): e12593. doi:10.1111/desc.12593

Havron, N., Raviv, L., & Arnon, I. (2018). Literate and preliterate children show different learning patterns in an artificial language learning task. Journal of Cultural Cognitive Science, 2, 21-33. doi:10.1007/s41809-018-0015-9

Diaz, J. A., Queirazza, F. and Philiastides, M. G. (2017) Perceptual learning alters post-sensory processing in human decision making. Nature Human Behaviour, 1, 0035. (doi:10.1038/s41562-016-0035)

Jack, R. E., Crivelli, C. and Wheatley, T. (2017) Data-driven methods to diversify knowledge of human psychology. Trends in Cognitive Sciences, (doi:10.1016/j.tics.2017.10.002)

Jack, R. E. and Schyns, P. G. (2017) Toward a social psychophysics of face communication. Annual Review of Psychology, 68, pp. 269-297. (doi:10.1146/annurev-psych-010416-044242)

Rychlowska, M., Jack, R.E., Garrod, O.G.B., Schyns, P.G., Martin, J. & Niedenthal, P.M. (2017). Functional smiles: Tools for love, sympathy, and war. Psychological Science. (doi: 10.1177/0956797617706082)

Jack, R. E., Sun, W., Delis, I., Garrod, O. G. B. and Schyns, P. G. (2016) Four not six: revealing culturally common facial expressions of emotion. Journal of Experimental Psychology: General, 145(6), pp. 708-730. (doi:10.1037/xge0000162)

Popivanov, I. D., Schyns, P. G. and Vogels, R. (2016) Stimulus features coded by single neurons of a macaque body category selective patch. Proceedings of the National Academy of Sciences of the United States of America, 113(7), E2450-E2459. (doi:10.1073/pnas.1520371113)