All Publications

2015

J. Wu, Yildirim, I., Lim, J. J., Freeman, W. T., and Tenenbaum, J. B., “Galileo: Perceiving physical object properties by integrating a physics engine with deep learning.”, in NIPS 2015, Montréal, Canada, 2015.
CBMM Funded
I. Yildirim, Kulkarni, T., Freiwald, W. A., and Tenenbaum, J. B., “Efficient and robust analysis-by-synthesis in vision: A computational framework, behavioral tests, and modeling neuronal representations”, in Annual Conference of the Cognitive Science Society, 2015.PDF icon yildirimetal_cogsci15.pdf (3.22 MB)
CBMM Funded
P. Tsividis, Gershman, S. J., Tenenbaum, J. B., and Schulz, L., “Information Selection in Noisy Environments with Large Action Spaces”, 9th Biennial Conference of the Cognitive Development Society, vol. Columbus, OH. 2015.
CBMM Funded
H. Yu, Siddharth, N., Barbu, A., and Siskind, J. Mark, “A Compositional Framework for Grounding Language Inference, Generation, and Acquisition in Video”. 2015.
CBMM Funded

2014

J. Singer and Kreiman, G., “Short temporal asynchrony disrupts visual object recognition.”, J Vis, vol. 14, no. 5, p. 7, 2014.
CBMM Related
CBMM Memo No.
025
T. Gao, Harari, D., Tenenbaum, J. B., and Ullman, S., “When Computer Vision Gazes at Cognition.”. 2014.PDF icon CBMM-Memo-025.pdf (3.78 MB)
CBMM Funded
S. W. Linderman, Stock, C., and Adams, R., “A framework for studying synaptic plasticity with neural spike train data”, in Neural Information Processing Systems, 2014.PDF icon 5274-a-framework-for-studying-synaptic-plasticity-with-neural-spike-train-data.pdf (4.6 MB)
CBMM Related
T. Poggio, “Is Research in Intelligence an Existential Risk?”. 2014.PDF icon Is Research in Intelligence an Existential Risk.pdf (571.42 KB)
CBMM Funded
CBMM Memo No.
027
S. W. Linderman, Johnson, M. J., Wilson, M. A., and Chen, Z., “A Nonparametric Bayesian Approach to Uncovering Rat Hippocampal Population Codes During Spatial Navigation.”. 2014.PDF icon CBMM-Memo-027.pdf (9.44 MB)
CBMM Funded
CBMM Memo No.
026
F. Anselmi and Poggio, T., “Representation Learning in Sensory Cortex: a theory.”. 2014.PDF icon CBMM-Memo-026_neuron_ver45.pdf (1.35 MB)
CBMM Funded
M. R. Dillon and Spelke, E. S., “Core geometry in perspective”, Developmental Science, 2014.
CBMM Related
S. Voinea, Zhang, C., Evangelopoulos, G., Rosasco, L., and Poggio, T., “Speech Representations based on a Theory for Learning Invariances”. SANE 2014 - Speech and Audio in the Northeast, 2014.
CBMM Related
CBMM Memo No.
024
N. Amir, Besold, T. R., Camoriano, R., Erdogan, G., Flynn, T., Gillary, G., Gomez, J., Herbert-Voss, A., Hotan, G., Kadmon, J., Linderman, S. W., Liu, T. T., Marantan, A., Olson, J., Orchard, G., Pal, D. K., Pasquale, G., Sanders, H., Silberer, C., Smith, K. A., de Briton, C. Stein N., Suchow, J. W., Tessler, M. H., Viejo, G., Walker, D., Wehbe, L., Barbu, A., Isik, L., Mackevicius, E., and Meroz, Y., “Abstracts of the 2014 Brains, Minds, and Machines Summer Course”. 2014.PDF icon CBMM-Memo-024.pdf (2.86 MB)
CBMM Funded
CBMM Memo No.
023
Q. Liao, Leibo, J. Z., and Poggio, T., “Unsupervised learning of clutter-resistant visual representations from natural videos.”. 2014.PDF icon 1409.3879v2.pdf (3.64 MB)
CBMM Funded
CBMM Memo No.
012
A. Barbu, Barrett, D., Chen, W., Siddharth, N., Xiong, C., Corso, J. J., Fellbaum, C. D., Hanson, C., Hanson, S. José, Helie, S., Malaia, E., Pearlmutter, B. A., Siskind, J. Mark, Talavage, T. Michael, and Wilbur, R. B., “Seeing is Worse than Believing: Reading People’s Minds Better than Computer-Vision Methods Recognize Actions”. 2014.PDF icon CBMM Memo 012.pdf (678.95 KB)
CBMM Funded
D. Mendoza-Halliday, Torres, S., and Martinez-Trujillo, J., “Sharp emergence of feature-selective sustained activity along the dorsal visual pathway”, Nature Neuroscience, vol. 7, no. 9, 2014.
CBMM Related
H. L. Kosakowski, Powell, L. J., and Spelke, E. S., “Imitation Preferences of Preverbal Infants.”, CBMM Summer Research Program. Poster presentation at the Center for Brain Minds and Machines Summer Conference, Cambridge, MA, 2014.PDF icon Imitation Preferences of Preverbal Infants. (11.32 MB)
CBMM Funded
H. Tang, Buia, C., Madhavan, R., Crone, N. E., Madsen, J., Anderson, W. S., and Kreiman, G., “Spatiotemporal Dynamics Underlying Object Completion in Human Ventral Visual Cortex”, Neuron, vol. 83, no. 3, pp. 736 - 748, 2014.
CBMM Funded
N. Siddharth, Barbu, A., and Siskind, J. Mark, “Seeing What You’re Told: Sentence-Guided Activity Recognition In Video”, in CVPR, Columbus, Ohio, 2014.PDF icon Publication (453.54 KB)
CBMM Funded
CBMM Memo No.
011
A. Barbu, Barrett, D., Chen, W., Siddharth, N., Xiong, C., Corso, J. J., Fellbaum, C. D., Hanson, C., Hanson, S. José, Helie, S., Malaia, E., Pearlmutter, B. A., Siskind, J. Mark, Talavage, T. Michael, and Wilbur, R. B., “The Compositional Nature of Event Representations in the Human Brain”. 2014.PDF icon CBMM Memo 011.pdf (3.95 MB)
CBMM Funded
CBMM Memo No.
022
G. Evangelopoulos, Voinea, S., Zhang, C., Rosasco, L., and Poggio, T., “Learning An Invariant Speech Representation”. 2014.PDF icon CBMM-Memo-022-1406.3884v1.pdf (1.81 MB)
CBMM Funded
CBMM Memo No.
021
C. Tan and Poggio, T., “Neural tuning size is a key factor underlying holistic face processing.”. 2014.PDF icon CBMM-Memo-021-1406.3793.pdf (387.79 KB)
CBMM Funded
CBMM Memo No.
020
R. Mottaghi, Fidler, S., Yuille, A., Urtasun, R., and Parikh, D., “Human-Machine CRFs for Identifying Bottlenecks in Holistic Scene Understanding.”. 2014.PDF icon CBMM-Memo-020.pdf (1.89 MB)
CBMM Related
CBMM Memo No.
019
P. Henry Winston, “The Genesis Story Understanding and Story Telling System A 21st Century Step toward Artificial Intelligence.”. 2014.PDF icon CBMM-Memo-019_StoryWhitePaper.pdf (894.38 KB)
CBMM Funded
CBMM Memo No.
018
W. Lu, Lian, X., and Yuille, A., “Parsing Semantic Parts of Cars Using Graphical Models and Segment Appearance Consistency.”. 2014.PDF icon CBMM-Memo-018_opt.pdf (5.02 MB)
CBMM Funded

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