Publication

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2017
Saxe, R. & Houlihan, S. D. Formalizing emotion concepts within a Bayesian model of theory of mind. Current Option in Psychology 17, 15-21 (2017).PDF icon 1-s2.0-S2352250X17300283-main.pdf (613.77 KB)
Spokes, A. C. & Spelke, E. S. Four-year-old children favor kin when the stakes are higher. Cognitive Development Society (CDS) (2017). at <https://cogdevsoc.org/wp-content/uploads/2017/10/CDS2017AbstractBook.pdf>
Sliwa, J. & Freiwald, W. A. From agents to actions to interactions: Uncovering multiple social networks in the primate brain. Society for Social and Affective Neuroscience (2017).
Ben-Yosef, G., Assif, L. & Ullman, S. Full interpretation of minimal images. (2017).PDF icon CBMM Memo 061 v.1 (4.64 MB)PDF icon CBMM Memo 061 v.2 (5.41 MB)
Zhang, Z. et al. Generative modeling of audible shapes for object perception. The IEEE International Conference on Computer Vision (ICCV) (2017). at <http://openaccess.thecvf.com/content_iccv_2017/html/Zhang_Generative_Modeling_of_ICCV_2017_paper.html>
Tsividis, P., Pouncy, T., Xu, J. L., Tenenbaum, J. B. & Gershman, S. J. Human Learning in Atari. (2017).PDF icon Tsividis et al - Human Learning in Atari.pdf (1.54 MB)
Han, Y., Roig, G., Geiger, G. & Poggio, T. On the Human Visual System Invariance to Translation and Scale. Vision Sciences Society (2017).
Han, Y., Roig, G., Geiger, G. & Poggio, T. Is the Human Visual System Invariant to Translation and Scale?. AAAI Spring Symposium Series, Science of Intelligence (2017).
Leonard, J. A., Lee, Y. & Schulz, L. Infants make more attempts to achieve a goal when they see adults persist. Science 357, 1290 - 1294 (2017).
Wu, Y. & Schulz, L. Inferring Beliefs and Desires From Emotional Reactions to Anticipated and Observed Events. Child Development (2017). doi:10.1111/cdev.12759PDF icon Wu_et_al-2017-Child_Development.pdf (883.1 KB)
Tacchetti, A., Isik, L. & Poggio, T. Invariant action recognition dataset. (2017). at <http://web.mit.edu/atacchet/www/dataset/>
Tacchetti, A., Isik, L. & Poggio, T. Invariant recognition drives neural representations of action sequences. PLOS Computational Biology 13, e1005859 (2017).PDF icon journal.pcbi_.1005859.pdf (9.24 MB)
Tacchetti, A., Isik, L. & Poggio, T. Invariant recognition drives neural representations of action sequences. PLoS Comp. Bio (2017).
Mutch, J. et al. Computational and Cognitive Neuroscience of Vision 85-104 (Springer, 2017).
Traer, J. & McDermott, J. H. Investigating audition with a generative model of impact sounds. Annual Meeting of Acoustical Society of America (2017).
Learning a commonsense moral theory. (2017).
Mlynarski, W. & McDermott, J. H. Learning Mid-Level Auditory Codes from Natural Sound Statistics. (2017).PDF icon MlynarskiMcDermott_Memo060.pdf (7.11 MB)
Mlynarski, W. & McDermott, J. H. Learning Mid-Level Codes for Natural Sounds. Association for Otolaryngology Mid-Winter Meeting (2017).
Wu, J., Lu, E., Kohli, P., Freeman, W. T. & Tenenbaum, J. B. Learning to See Physics via Visual De-animation. Advances in Neural Information Processing Systems 30 152–163 (2017). at <http://papers.nips.cc/paper/6620-learning-to-see-physics-via-visual-de-animation.pdf>PDF icon Learning to See Physics via Visual De-animation (1.11 MB)
Traer, J. & McDermott, J. H. A library of real-world reverberation and a toolbox for its analysis and measurement. Annual Meeting of Acoustical Society of America (2017).
Spokes, A. C., Howard, R., Mehr, S. A. & Krasnow, M. M. Like Adults, children make consistent welfare tradeoff allocations. Budapest CEU Conference on Cognitive Development (2017).
Spokes, A. C., Howard, R., Mehr, S. A. & Krasnow, M. M. Like adults, children make consistent welfare tradeoff allocations. Society for Research in Child Development Biennial Meeting (2017).
Telenczuk, B. et al. Local field potentials primarily reflect inhibitory neuron activity in human and monkey cortex. Nature Scientific Reports (2017). doi:10.1038/srep40211PDF icon srep40211.pdf (2.53 MB)
Scott, K. M. & Schulz, L. Lookit (Part 1): a new online platform for developmental research. Open Mind 1, (2017).PDF icon UNCORRECTED PROOF (561.21 KB)
Scott, K. M., Chu, J. & Schulz, L. Lookit (Part 2): Assessing the viability of online developmental research, Results from three case studies. Open Mind 1, (2017).PDF icon lookitpart2.pdf (464.02 KB)

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