All Publications

2022

Y. Li, Wang, Y. Q., Boger, T., Smith, K. A., Gershman, S. J., and Ullman, T., “An approximate representation of objects underlies physical reasoning”, psyArXiv, 2022.
CBMM Related
S. V. Norman-Haignere, Feather, J., Boebinger, D., Brunner, P., Ritaccio, A., McDermott, J. H., Schalk, G., and Kanwisher, N., “A neural population selective for song in human auditory cortex”, Current Biology, 2022.PDF icon mmc2.pdf (9.52 MB)
CBMM Funded
L. Zhou, Smith, K., Tenenbaum, J. B., and Gerstenberg, T., “Mental Jenga: A counterfactual simulation model of causal judgments about physical support”, PsyArXiv, 2022.
CBMM Related
A. Francl and McDermott, J. H., “Deep neural network models of sound localization reveal how perception is adapted to real-world environments”, Nature Human Behavior, vol. 6, pp. 111–133 , 2022.PDF icon s41562-021-01244-z.pdf (7.22 MB)
CBMM Funded
M. J. McPherson, Grace, R. C., and McDermott, J. H., “Harmonicity aids hearing in noise”, Attention, Perception, & Psychophysics, 2022.
CBMM Related
A. J. Thomas, Woo, B., Nettle, D., Spelke, E. S., and Saxe, R., “Early concepts of intimacy: Young humans use saliva sharing to infer close relationships”, Science, vol. 375, no. 6578, pp. 311 - 315, 2022.
CBMM Funded
M. Bendini and Devercelli, A., Eds., Quality Early Learning: Nurturing Children's Potential. The World Bank, 2022.
CBMM Related
B. Woo and Spelke, E., “Eight-Month-Old Infants’ Social Evaluations of Agents Who Act on False Beliefs”, Proceedings of the Annual Meeting of the Cognitive Science Society, vol. 44, 2022.
CBMM Funded

2021

A. Ratan N. Murty, Bashivan, P., Abate, A., DiCarlo, J. J., and Kanwisher, N., “Computational models of category-selective brain regions enable high-throughput tests of selectivity”, Nature Communications, vol. 12, no. 1, 2021.PDF icon s41467-021-25409-6.pdf (6.47 MB)
CBMM Funded
M. R. Saddler, Gonzalez, R., and McDermott, J. H., “Deep neural network models reveal interplay of peripheral coding and stimulus statistics in pitch perception”, Nature Communications, vol. 12, no. 1, 2021.PDF icon s41467-021-27366-6.pdf (5.25 MB)
CBMM Related
I. Bass, Smith, K. A., Bonawitz, E., and Ullman, T., “Partial Mental Simulation Explains Fallacies in Physical Reasoning”, psyArXiv, 2021.
CBMM Related
C. Bongiorno, Zhou, Y., Kryven, M., Theurel, D., Rizzo, A., Santi, P., Tenenbaum, J. B., and Ratti, C., “Vector-based pedestrian navigation in cities”, Nature Computational Science, vol. 1, no. 10, pp. 678 - 685, 2021.PDF icon s43588-021-00130-y.pdf (1.96 MB)
CBMM Funded
M. Kryven, Ullman, T. D., Cowan, W., and Tenenbaum, J. B., “Plans or Outcomes: How Do We Attribute Intelligence to Others?”, Cognitive Science, vol. 45, no. 9, 2021.
CBMM Related
K. Allen, Smith, K. A., Bird, L., Tenenbaum, J. B., Makin, T., and Cowie, D., “Meta-strategy learning in physical problem solving: the effect of embodied experience”, bioRxiv, 2021.PDF icon 2021.07.08.451333v2.full_.pdf (3.05 MB)
CBMM Funded
T. Shu, Bhandwaldar, A., Gan, C., Smith, K. A., Liu, S., Gutfreund, D., Spelke, E. S., Tenenbaum, J. B., and Ullman, T. D., “ AGENT: A Benchmark for Core Psychological Reasoning”, Proceedings of the 38th International Conference on Machine Learning. 2021.
CBMM Related
S. Dae Houlihan, Tenenbaum, J. B., and Saxe, R., The Neural Basis of Mentalizing: Linking Models of Theory of Mind and Measures of Human Brain Activity. Cham: Springer International Publishing, 2021, pp. 209 - 235.
CBMM Funded
F. A. Sosa, Ullman, T., Tenenbaum, J. B., Gershman, S. J., and Gerstenberg, T., “Moral dynamics: Grounding moral judgment in intuitive physics and intuitive psychology”, Cognition, vol. 217, p. 104890, 2021.
CBMM Funded
C. Yang, Zhou, Y., Marcus, S., Formenti, G., Bergeron, L. A., Song, Z., Bi, X., Bergman, J., Rousselle, M. Marie C., Zhou, C., Zhou, L., Deng, Y., Fang, M., Xie, D., Zhu, Y., Tan, S., Mountcastle, J., Haase, B., Balacco, J., Wood, J., Chow, W., Rhie, A., Pippel, M., Fabiszak, M. M., Koren, S., Fedrigo, O., Freiwald, W. A., Howe, K., Yang, H., Phillippy, A. M., Schierup, M. Heide, Jarvis, E. D., and Zhang, G., “Evolutionary and biomedical insights from a marmoset diploid genome assembly”, Nature, 2021.
CBMM Funded
Z. Yang and Freiwald, W. A., “Joint encoding of facial identity, orientation, gaze, and expression in the middle dorsal face areaSignificance”, Proceedings of the National Academy of Sciences, vol. 118, no. 33, 2021.
CBMM Related
S. Anzellottti, Houlihan, S. Dae, Liburd, Jr, S., and Saxe, R., “Leveraging facial expressions and contextual information to investigate opaque representations of emotions.”, Emotion, 2021.PDF icon Anzellotti 2021 Emotion.pdf (1.08 MB)
CBMM Funded
M. A. Cohen, Ostrand, C., Frontero, N., and Pham, P. - N., “Characterizing a snapshot of perceptual experience.”, Journal of Experimental Psychology: General, 2021.
CBMM Funded
I. Sani, Stemmann, H., Caron, B., Bullock, D., Stemmler, T., Fahle, M., Pestilli, F., and Freiwald, W. A., “The human endogenous attentional control network includes a ventro-temporal cortical node”, Nature Communications, vol. 12, no. 1, 2021.
CBMM Funded
T. Pouncy, Tsividis, P., and Gershman, S. J., “What Is the Model in Model‐Based Planning?”, Cognitive Science, vol. 45, no. 1, 2021.
CBMM Funded

2020

L. Isik, Mynick, A., Pantazis, D., and Kanwisher, N., “The speed of human social interaction perception”, NeuroImage, p. 116844, 2020.
CBMM Funded
H. Richardson, Gweon, H., Dodell-Feder, D., Malloy, C., Pelton, H., Keil, B., Kanwisher, N., and Saxe, R., “Response patterns in the developing social brain are organized by social and emotion features and disrupted in children diagnosed with autism spectrum disorder”, Cortex, vol. 125, pp. 12 - 29, 2020.
CBMM Funded

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