All Publications

2023

S. Dae Houlihan, Kleiman-Weiner, M., Hewitt, L. B., Tenenbaum, J. B., and Saxe, R., “Emotion prediction as computation over a generative theory of mind”, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences, vol. 381, no. 2251, 2023.
CBMM Funded
N. Kanwisher, Khosla, M., and Dobs, K., “Using artificial neural networks to ask ‘why’ questions of minds and brains”, Trends in Neurosciences, vol. 46, no. 3, pp. 240 - 254, 2023.
CBMM Related
H. L. Kosakowski, Norman‐Haignere, S., Mynick, A., Takahashi, A., Saxe, R., and Kanwisher, N., “Preliminary evidence for selective cortical responses to music in one‐month‐old infants”, Developmental Science, 2023.PDF icon Developmental Science - 2023 - Kosakowski - Preliminary evidence for selective cortical responses to music in one‐month‐old.pdf (2.6 MB)
CBMM Funded
N. Kanwisher, Gupta, P., and Dobs, K., “CNNs reveal the computational implausibility of the expertise hypothesis”, iScience, vol. 26, no. 2, p. 105976, 2023.
CBMM Funded
B. M. Woo and Spelke, E. S., “Infants and toddlers leverage their understanding of action goals to evaluate agents who help others”, Child Development, 2023.
CBMM Funded
X. Puig, Shu, T., Tenenbaum, J. B., and Torralba, A., “NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants”, arXiv, 2023.
CBMM Related

2022

M. Khosla, N. Murty, A. Ratan, and Kanwisher, N., “A highly selective response to food in human visual cortex revealed by hypothesis-free voxel decomposition”, Current Biology, vol. 32, no. 19, pp. 4159 - 4171.e9, 2022.
CBMM Related
S. Liu, Pepe, B., Kumar, M. Ganesh, Ullman, T. D., Tenenbaum, J. B., and Spelke, E. S., “Dangerous Ground: One-Year-Old Infants are Sensitive to Peril in Other Agents’ Action PlansAbstract”, Open Mind, vol. 6, pp. 211 - 231, 2022.
CBMM Funded
K. Ellis, Albright, A., Solar-Lezama, A., Tenenbaum, J. B., and O’Donnell, T. J., “Synthesizing theories of human language with Bayesian program inductionAbstract”, Nature Communications, vol. 13, no. 1, 2022.PDF icon s41467-022-32012-w.pdf (2.19 MB)
CBMM Funded
V. Izard, Pica, P., and Spelke, E. S., “Visual foundations of Euclidean geometry”, Cognitive Psychology, vol. 136, p. 101494, 2022.
CBMM Related
E. S. Spelke, What Babies KnowAbstractCore KnowledgeAbstract, 1st ed. Oxford University PressNew York, 2022, pp. 190 - C5.T1.
CBMM Related
B. M. Woo and Spelke, E. S., “Toddlers’ social evaluations of agents who act on false beliefs”, Developmental Science, vol. 26, no. 2, 2022.
CBMM Funded
S. D. Houlihan, Ong, D., Cusimano, M., and Saxe, R., “Reasoning about the antecedents of emotions: Bayesian causal inference over an intuitive theory of mind”, Proceedings of the 44th Annual Conference of the Cognitive Science Society, vol. 44. Toronto, CA, pp. 854-861, 2022.PDF icon Houlihan 2022 Proceedings of the 44th Annual Conference of the Cognitive Science Society.pdf (687.98 KB)
CBMM Funded
N. N. Gjata, Ullman, T. D., Spelke, E. S., and Liu, S., “What Could Go Wrong: Adults and Children Calibrate Predictions and Explanations of Others' Actions Based on Relative Reward and Danger”, Cognitive Science, vol. 46, no. 7, 2022.
CBMM Funded
R. T. Pramod, Cohen, M. A., Tenenbaum, J. B., and Kanwisher, N., “Invariant representation of physical stability in the human brain”, eLife, vol. 11, 2022.
CBMM Related
R. Tejwani, Kuo, Y. - L., Shu, T., Stankovits, B., Gutfreund, D., Tenenbaum, J. B., Katz, B., and Barbu, A., “Incorporating Rich Social Interactions Into MDPs”, in 2022 IEEE International Conference on Robotics and Automation (ICRA)2022 International Conference on Robotics and Automation (ICRA), Philadelphia, PA, USA, 2022.
CBMM Funded
A. J. Thomas, Saxe, R., and Spelke, E. S., “Infants infer potential social partners by observing the interactions of their parent with unknown others”, Proceedings of the National Academy of Sciences, vol. 119, no. 32, 2022.PDF icon pnas.2121390119.pdf (1.43 MB)
CBMM Funded
M. A. Gartstein, D. Seamon, E., Mattera, J. A., Enlow, M. Bosquet, Wright, R. J., Perez-Edgar, K., Buss, K. A., LoBue, V., Bell, M. Ann, Goodman, S. H., Spieker, S., Bridgett, D. J., Salisbury, A. L., Gunnar, M. R., Mliner, S. B., Muzik, M., Stifter, C. A., Planalp, E. M., Mehr, S. A., Spelke, E. S., Lukowski, A. F., Groh, A. M., Lickenbrock, D. M., Santelli, R., Schudlich, T. Du Rocher, Anzman-Frasca, S., Thrasher, C., Diaz, A., Dayton, C., Moding, K. J., and Jordan, E. M., “Using machine learning to understand age and gender classification based on infant temperament”, PLOS ONE, vol. 17, no. 4, p. e0266026, 2022.
CBMM Related
F. S. Kamps, Richardson, H., N. Murty, A. Ratan, Kanwisher, N., and Saxe, R., “Using child‐friendly movie stimuli to study the development of face, place, and object regions from age 3 to 12 years”, Human Brain Mapping, 2022.
CBMM Related
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

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