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  • Alexandre, Z., Oleg, S., & Giovanni, P. (2018). An information-theoretic perspective on the costs of cognition. Neuropsychologia.
  • Chang, C. J., & Jazayeri, M. (2018). Integration of speed and time for estimating time to contact. Proceedings of the National Academy of Sciences, 115(12), E2879-E2887.
  • Flesch, T., Balaguer, J., Dekker, R., Nili, H., & Summerfield, C. (2018). Comparing continual task learning in minds and machines. Proceedings of the National Academy of Sciences, 115(44), E10313-E10322.
  • Kwon, O. S., Tadin, D., & Knill, D. C. (2015). Unifying account of visual motion and position perception. Proceedings of the National Academy of Sciences, 112(26), 8142-8147.
  • Li, V., Michael, E., Balaguer, J., Castañón, S. H., & Summerfield, C. (2018). Gain control explains the effect of distraction in human perceptual, cognitive, and economic decision making. Proceedings of the National Academy of Sciences, 201805224.
  • Lisi, M., & Cavanagh, P. (2015). Dissociation between the perceptual and saccadic localization of moving objects. Current Biology, 25(19), 2535-2540.
  • Murray, S. O., Schallmo, M. P., Kolodny, T., Millin, R., Kale, A., Thomas, P., Rammsayer, T., Troche, S., Bernier, R., & Tadin, D. (2018). Sex Differences in Visual Motion Processing. Current Biology.
  • O’Toole, A. J., Castillo, C. D., Parde, C. J., Hill, M. Q., & Chellappa, R. (2018). Face Space Representations in Deep Convolutional Neural Networks. Trends in cognitive sciences.
  • Rajalingham, R., Issa, E. B., Bashivan, P., Kar, K., Schmidt, K., & DiCarlo, J. J. (2018). Large-scale, high-resolution comparison of the core visual object recognition behavior of humans, monkeys, and state-of-the-art deep artificial neural networks. Journal of Neuroscience, 0388-18.
  • Rossion, B., & Taubert, J. (2018). What can we learn about human individual face recognition from experimental studies in monkeys?. Vision research.
  • Rossion, B., & Taubert, J. (2017). Commentary: The Code for Facial Identity in the Primate Brain. Frontiers in human neuroscience, 11, 550.
  • Simoncini, C., Perrinet, L. U., Montagnini, A., Mamassian, P., & Masson, G. S. (2012). More is not always better: adaptive gain control explains dissociation between perception and action. Nature neuroscience, 15(11), 1596.
  • Sims, C. R. (2018). Efficient coding explains the universal law of generalization in human perception. Science, 360(6389), 652-656.
  • van Heusden, E., Rolfs, M., Cavanagh, P., & Hogendoorn, H. (2018). Motion extrapolation for eye movements predicts perceived motion-induced position shifts. Journal of Neuroscience, 0736-18.
  • Kool, W., & Botvinick, M., (2018). Mental Labour. Nature Human Behaviour
  • Vogelsang, L., Gilad-Gutnick, S., Ehrenberg, E., Yonas, A., Diamond, S., Held, R., & Sinha, P. (2018). Potential downside of high initial visual acuity. Proceedings of the National Academy of Sciences, 115(44), 11333-11338.

To-do:

  • Frank, S. A. (2018). Measurement invariance explains the universal law of generalization for psychological perception. bioRxiv, 341305.

  • Remington, E. D., Parks, T. V., & Jazayeri, M. (2018). Late Bayesian inference in mental transformations. Nature communications, 9(1), 4419.

  • Mann, R. P. (2018). Collective decision making by rational individuals. Proceedings of the National Academy of Sciences, 115(44), E10387-E10396.