All Publications

2017

A. Tacchetti, Isik, L., and Poggio, T., “Invariant recognition drives neural representations of action sequences”, PLoS Comp. Bio, 2017.
CBMM Funded
B. Telenczuk, Dehghani, N., Le Van Quyen, M., Cash, S., Halgren, E., Hatsopoulos, N., and Destexhe, A., “Local field potentials primarily reflect inhibitory neuron activity in human and monkey cortex”, Nature Scientific Reports, 2017.PDF icon srep40211.pdf (2.53 MB)
CBMM Related
D. Theurel, “Modeling brain dynamics using mathematics from quantum mechanics”, Peter Chin's Lab, Boston University, vol. Boston University. 2017.
CBMM Related
J. Traer and McDermott, J. H., “Auditory Perception of Material and Force from Impact Sounds”, Annual Meeting of Association for Research in Otolaryngology. 2017.
CBMM Related
J. Traer and 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.
CBMM Related
J. Traer and McDermott, J. H., “Investigating audition with a generative model of impact sounds”, Annual Meeting of Acoustical Society of America. 2017.
CBMM Related
P. Tsividis, Pouncy, T., Xu, J. L., Tenenbaum, J. B., and Gershman, S. J., “Human Learning in Atari”, in AAAI Spring Symposium Series, 2017.PDF icon Tsividis et al - Human Learning in Atari.pdf (844.47 KB)
CBMM Funded
T. Ullman, Tenenbaum, J. B., and Spelke, E. S., “Critical Cues in Early Physical Reasoning”, SRCD. Austin, TX, 2017.
CBMM Funded
C. Varela and Wilson, M. A., “Thalamic contribution to CA1-mPFC interactions during sleep”, Society for Neuroscience's Annual Meeting - SfN 2017. Washington, DC, 2017.File AbstractSFNfinal.docx (13.14 KB)
CBMM Related
Y. Wu, Muentener, P., and Schulz, L., “One- to Four-year-olds’ Ability to Connect Diverse Positive Emotional Expressions to Their Probable Causes ”, Society for Research in Child Development. 2017.
CBMM Funded
I. Yildirim and Janner, M., “Causal and compositional generative models in online perception”, in 39th Annual Conference of the Cognitive Science Society, London, UK, 2017.PDF icon yildirim_janner_2_1.pdf (6.88 MB)
CBMM Funded
H. Tang, Kreiman, G., and Zhao, Q., “Recognition of occluded objects”, in Computational and Cognitive Neuroscience of Vision, Springer Singapore, 2017.
CBMM Funded

2016

W. Lotter, Kreiman, G., and Cox, D., “Unsupervised Learning of Visual Structure using Predictive Generative Networks”, in International Conference on Learning Representations (ICLR), San Juan, Puerto Rico, 2016.
CBMM Funded
A. Ratan N. Murty and Pramod, R. T., “To What Extent Does Global Shape Influence Category Representation in the Brain?”, Journal of Neuroscience, vol. 36, no. 15, pp. 4149 - 4151, 2016.
CBMM Related
M. Nickel, Murphy, K., Tresp, V., and Gabrilovich, E., “A Review of Relational Machine Learning for Knowledge Graphs”, Proceedings of the IEEE, vol. 104, no. 1, pp. 11 - 33, 2016.PDF icon 1503.00759v3.pdf (1.53 MB)
CBMM Funded
Q. Liao, Leibo, J. Z., and Poggio, T., “How Important Is Weight Symmetry in Backpropagation?”, in Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), Phoenix, AZ., 2016.PDF icon liao-leibo-poggio.pdf (191.91 KB)
CBMM Funded
B. R. Conway, Lafer-Sousa, R., and Hermann, K., “Mechanisms of color perception and cognition covered by #thedress”, VSS 2016, vol. 16, no. 12. p. 746, 2016.
CBMM Related
B. R. Conway, Lafer-Sousa, R., and Hermann, K., “Mechanisms of color perception and cognition covered by# thedress”, VSS 2016, vol. 16, no. 12. Journal of Vision, pp. 746-746, 2016.
CBMM Related
W. Kool, Cushman, F. A., and Gershman, S. J., “When Does Model-Based Control Pay Off?”, PLoS Comput Biol, vol. 12, no. 8, p. e1005090, 2016.PDF icon KoolEtAl_PLOS_CB.PDF (5.85 MB)
CBMM Funded
K. Allen, Yildirim, I., and Tenenbaum, J. B., “Integrating Identification and Perception: A case study of familiar and unfamiliar face processing”, in Proceedings of the Thirty-Eight Annual Conference of the Cognitive Science Society, 2016.PDF icon allen_5_13.pdf (2.13 MB)
CBMM Related
T. Poggio, “Deep Leaning: Mathematics and Neuroscience”, A Sponsored Supplement to Science, vol. Brain-Inspired intelligent robotics: The intersection of robotics and neuroscience, pp. 9-12, 2016.
CBMM Funded
D. Rockmore, “The Trolley Problem [Edge.com]”. Edge.com, 2016.PDF icon The Trolley Problem.pdf (343.3 KB)
CBMM Memo No.
059
D. Harari, Gao, T., Kanwisher, N., Tenenbaum, J. B., and Ullman, S., “Measuring and modeling the perception of natural and unconstrained gaze in humans and machines”. 2016.PDF icon CBMM-Memo-059.pdf (1.71 MB)
CBMM Funded
CBMM Memo No.
058
T. Poggio, Mhaskar, H., Rosasco, L., Miranda, B., and Liao, Q., “Theory I: Why and When Can Deep Networks Avoid the Curse of Dimensionality?”. 2016.PDF icon CBMM-Memo-058v1.pdf (2.42 MB)PDF icon CBMM-Memo-058v5.pdf (2.45 MB)PDF icon CBMM-Memo-058-v6.pdf (2.74 MB)PDF icon Proposition 4 has been deleted (2.75 MB)
CBMM Funded
G. Ben-Yosef, Yachin, A., and Ullman, S., “Recognizing and Interpreting Social Interactions in Local Image Regions”, The 24th Annual Workshop on Object Perception, Attention, and Memory (OPAM), Boston, MA. 2016.
CBMM Funded

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