All Publications

2016

CBMM Memo No.
043
O. Morère, Veillard, A., Lin, J., Petta, J., Chandrasekhar, V., and Poggio, T., “Group Invariant Deep Representations for Image Instance Retrieval”. 2016.PDF icon CBMM-Memo-043.pdf (2.66 MB)
CBMM Funded
CBMM Memo No.
042
L. Isik, Tacchetti, A., and Poggio, T., “Fast, invariant representation for human action in the visual system”. 2016.PDF icon CBMM Memo 042 (3.03 MB)
CBMM Funded
Y. Berzak, Barbu, A., Harari, D., Katz, B., and Ullman, S., “Language and Vision Ambiguities (LAVA) Corpus”. 2016.PDF icon D15-1172.pdf (2.42 MB)
CBMM Funded
G. Kreiman, “Neural Information Processing Systems (NIPS) 2015 Review”. 2016.PDF icon Read the Views & Review article by Gabriel Kreiman (443.87 KB)
S. Liu and Spelke, E. S., “Continuous representations of action efficiency in infancy”, CEU Conference on Cognitive Development (BCCCD16). 2016.
CBMM Funded
E. Meyers, “Review of the CBMM workshop on the Turing++ Question: 'who is there?'”. 2016.PDF icon Review of the CBMM workshop on the Turing++ Question- 'who is there?' .pdf (555.71 KB)
H. Mhaskar and Poggio, T., “Deep vs. shallow networks: An approximation theory perspective”, Analysis and Applications, vol. 14, no. 06, pp. 829 - 848, 2016.
CBMM Funded
CBMM Memo No.
045
H. Mhaskar, Liao, Q., and Poggio, T., “Learning Functions: When Is Deep Better Than Shallow”. 2016.
CBMM Funded
F. Bach and Poggio, T., “Introduction Special issue: Deep learning”, Information and Inference, vol. 5, pp. 103-104, 2016.
CBMM Funded
L. Bergen, Levy, R., and Goodman, N. D., “Pragmatic Reasoning through Semantic Inference”, Semantics and Pragmatics, vol. Vol 9 (2016) , 2016.PDF icon BergenLevyGoodman2015.pdf (1.12 MB)
CBMM Related
N. Bramley, Gerstenberg, T., and Tenenbaum, J. B., “Natural science: Active learning in dynamic physical microworlds”, 38th Annual Meeting of the Cognitive Science Society. 38th Annual Meeting of the Cognitive Science Society, 2016.PDF icon Natural Science (Bramley, Gerstenberg, Tenenbaum, 2016).pdf (5.39 MB)
CBMM Funded
N. Dehghani, “Dynamic balance of excitation and inhibition in human and monkey neocortex”, Nature Scientific Reports, 2016.PDF icon BalanceExcitationInhibition.pdf (2.1 MB)
CBMM Related
M. R. Dillon and Spelke, E. S., “Young Children’s Use of Surface and Object Information in Drawings of Everyday Scenes”, Child Development, 2016.
CBMM Related
T. Gerstenberg and Tenenbaum, J. B., “Understanding "almost": Empirical and computational studies of near misses”, 38th Annual Meeting of the Cognitive Science Society. 38th Annual Meeting of the Cognitive Science Society, 2016.PDF icon Understanding almost (Gerstenberg, Tenenbaum, 2016).pdf (4.08 MB)
CBMM Funded
C. Gómez-Laberge, Smolyanskaya, A., Nassi, J. J., Kreiman, G., and Born, R. T., “Bottom-up and Top-down Input Augment the Variability of Cortical Neurons.”, Neuron, vol. 91(3), pp. 540-547, 2016.
CBMM Funded
J. K. Hartshorne, “VerbCorner: Testing theories of argument structure through crowdsourcing”, Workshop on Events in Language. 2016.PDF icon VerbCorner_EventsInLanguage.pdf (1.14 MB)
CBMM Related
J. Jara-Ettinger, Gweon, H., Schulz, L., and Tenenbaum, J. B., “The naive utility calculus: computational principles underlying social cognition”, Trends Cogn Sci., 2016.
CBMM Funded
J. Jara-Ettinger, Piantadosi, S., Spelke, E. S., Levy, R., and Gibson, E., “Mastery of the logic of natural numbers is not the result of mastery of counting: Evidence from late counters. ”, Developmental Science, 2016.
CBMM Related
M. Kleiman-Weiner, Ho, M. K., Austerweil, J. L., L, L. Michael, and Tenenbaum, J. B., “Coordinate to cooperate or compete: abstract goals and joint intentions in social interaction”, in Proceedings of the 38th Annual Conference of the Cognitive Science Society, 2016.PDF icon kleiman2016coordinate.pdf (266.87 KB)
CBMM Related
D. Kliemann, Jacoby, N., Anzellottti, S., and Saxe, R., “Decoding task and stimulus representations in face-responsive cortex”, Cognitive Neuropsychology, 2016.
CBMM Related
M. Le Van Quyen, Muller, L., Telenczuk, B., Halgren, E., Cash, S., Hatsopoulos, N., Dehghani, N., and Destexhe, A., “High-frequency oscillations in human and monkey neocortex during the wake–sleep cycle”, Proceedings of the National Academy of Sciences, 2016.PDF icon BetaGammaSleepAwakeFull.pdf (3.68 MB)
CBMM Related
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.
CBMM Funded
I. Lifshitz, Fetaya, E., and Ullman, S., “Human Pose Estimation Using Deep Consensus Voting”, in ECCV 2016, 2016.PDF icon 1603.08212.pdf (6.05 MB)
CBMM Funded
S. W. Linderman, Johnson, M. J., Wilson, M. A., and Chen, Z., “A Bayesian nonparametric approach for uncovering rat hippocampal population codes during spatial navigation”, Journal of Neuroscience Methods, vol. 263, no. 1, 2016.PDF icon Journal of Neuroscience Methods (2.27 MB)
CBMM Related
W. Lotter, Kreiman, G., and Cox, D., “PredNet - "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning" [code]”. 2016.
CBMM Related

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