All Publications

2019

S. Liu, Brooks, N. B., and Spelke, E. S., “Origins of the concepts cause, cost, and goal in prereaching infants”, PNAS, 2019.PDF icon Author's last draft (2.58 MB)
CBMM Funded
D. Obiajulu, Vazquez, Y., Ianni, G. A., Yazdani, F., and Freiwald, W. A., “Facial Expression Scoring and Assessment of Facial Movement Kinematics in Non-Human Primates”, in The Rockefeller University 2019 Summer Science Research Program (SSRP), New York, NY, USA, 2019.
CBMM Funded
T. Phillips-Jones, Coronel, S. Otero, Sani, I., and Freiwald, W. A., “A Virtual Reality Experimental Approach for Studying How the Brain Implements Attentive Behaviors”, in Tri-Institute 2019 Gateways to the Laboratory Summer Program, New York, NY, USA, 2019.
CBMM Funded
Y. Zhang, Marciniak, K., and Freiwald, W. A., “Analysis of Macaque Monkeys’ Social and Physical Interaction Processing with Eye tracking Data”, in The Rockefeller University 2019 Summer Science Research Program (SSRP), New York, NY, USA, 2019.
CBMM Funded
A. Adler and Wax, M., “Constant modulus algorithms via low-rank approximation”, Signal Processing, vol. 160, pp. 263 - 270, 2019.
CBMM Funded
A. Adler and Wax, M., “Direct Localization by Partly Calibrated Arrays: A Relaxed Maximum Likelihood Solution”, in 27th European Signal Processing Conference, EUSIPCO 2019, A Coruna, Spain, 2019.
CBMM Funded
J. Chu, Gauthier, J., Levy, R., Tenenbaum, J. B., and Schulz, L., “Query-guided visual search ”, in 41st Annual conference of the Cognitive Science Society, Montreal, Québec, Canada, 2019.
CBMM Funded
M. Cusimano, Traer, J., and McDermott, J. H., “Scrape, rub, and roll: causal inference in the perception of sustained contact sounds ”, in Cognitive Science, Montreal, Québec, Canada, 2019.
CBMM Funded
G. Kreiman, “It's a small dimensional world after all”, Physics of Life Reviews, vol. 29, pp. 96 - 97, 2019.
M. Kryven, Scholl, B., and Tenenbaum, J. B., “ Does intuitive inference of physical stability interruptattention?”, Cognitive Sciences Society. 2019.
CBMM Funded
M. Kryven, Niemi, L., Paul, L., and Tenenbaum, J. B., “Choosing a Transformative Experience ”, Cognitive Sciences Society. 2019.
CBMM Funded
T. D. Ullman, Kosoy, E., Yildirim, I., Soltani, A. Arsalan, Siegel, M., Tenenbaum, J. B., and Spelke, E. S., “Draping an Elephant: Uncovering Children's Reasoning About Cloth-Covered Objects”, Cognitive Science Society. Montreal, Canada, 2019.PDF icon Draping an Elephant: Uncovering Children's Reasoning About Cloth-Covered Objects.pdf (2.62 MB)
CBMM Funded
A. Adler, Araya-Polo, M., and Poggio, T., “Deep Recurrent Architectures for Seismic Tomography”, in 81st EAGE Conference and Exhibition 2019, 2019.
CBMM Funded
A. Banburski, Liao, Q., Miranda, B., Rosasco, L., Hidary, J., and Poggio, T., “Weight and Batch Normalization implement Classical Generalization Bounds ”, in ICML, Long Beach/California, 2019.
CBMM Funded
A. Barbu, Banda, D., and Katz, B., “Deep video-to-video transformations for accessibility with an application to photosensitivity”, Pattern Recognition Letters, 2019.
CBMM Funded
S. V. Norman-Haignere, Kanwisher, N., McDermott, J. H., and Conway, B. R., “Divergence in the functional organization of human and macaque auditory cortex revealed by fMRI responses to harmonic tones”, Nature Neuroscience, 2019.
CBMM Funded
J. P. McCoy and Ullman, T., “Judgments of effort for magical violations of intuitive physics”, PLOS ONE, vol. 14, no. 5, p. e0217513, 2019.
CBMM Related
CBMM Memo No.
098
H. Mhaskar and Poggio, T., “An analysis of training and generalization errors in shallow and deep networks”. 2019.PDF icon CBMM-Memo-098.pdf (687.36 KB)PDF icon CBMM Memo 098 v4 (08/2019) (2.63 MB)
CBMM Funded
P. Bashivan, Kar, K., and DiCarlo, J. J., “Neural Population Control via Deep Image Synthesis”, Science, vol. 364, no. 6439, 2019.PDF icon Author's last draft (18.45 MB)
CBMM Funded
Y. Han, Roig, G., Geiger, G., and Poggio, T., “Properties of invariant object recognition in human one-shot learning suggests a hierarchical architecture different from deep convolutional neural networks”, in Vision Science Society, Florida, USA, 2019.
CBMM Funded
Y. Han, Roig, G., Geiger, G., and Poggio, T., “Properties of invariant object recognition in human oneshot learning suggests a hierarchical architecture different from deep convolutional neural networks ”, in Vision Science Society, St Pete Beach, FL, USA, 2019.
CBMM Funded
C. R. Ponce, Xiao, W., Schade, P. F., Hartmann, T. S., Kreiman, G., and Livingstone, M. S., “Evolving Images for Visual Neurons Using a Deep Generative Network Reveals Coding Principles and Neuronal Preferences”, Cell , vol. 177, p. 1009, 2019.PDF icon Author's last draft (20.26 MB)
CBMM Funded
J. Serrino, Kleiman-Weiner, M., Parkes, D. C., and Tenenbaum, J. B., “Finding Friend and Foe in Multi-Agent Games”, Neural Information Processing Systems (NeurIPS 2019). Vancouver, Canada, 2019.PDF icon Max KW paper.pdf (928.96 KB)
CBMM Funded
J. Zhang, Han, Y., Poggio, T., and Roig, G., “Eccentricity Dependent Neural Network with Recurrent Attention for Scale, Translation and Clutter Invariance ”, in Vision Science Society, Florida, USA, 2019.
CBMM Funded
K. Kar, Kubilius, J., Schmidt, K., Issa, E. B., and DiCarlo, J. J., “Evidence that recurrent circuits are critical to the ventral stream’s execution of core object recognition behavior”, Nature Neuroscience, 2019.PDF icon Author's last draft (1.74 MB)
CBMM Funded

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