All Publications

2015

M. R. Dillon, Pires, A. C., Hyde, D. C., and Spelke, E. S., “Children's expectations about training the approximate number system.”, British Journal of Developmental Psychology, vol. 33, no. 4, 2015.
CBMM Related
M. R. Dillon and Spelke, E. S., “Connecting core cognition, spatial symbols, and the abstract concepts of formal geometry.”, in Cognitive Development Society Post-Conference, More on Development, 2015.
CBMM Related
M. R. Dillon and Spelke, E. S., “From spatial symbols to Euclidean intuitions.”, Biennial Meeting of Cognitive Development Society. 2015.
CBMM Related
M. R. Dillon, Izard, V., and Spelke, E. S., “Infants’ sensitivity to shape changes.”, Cognitive Development Society Pre-Conference on the Development of Spatial Thinking. 2015.
CBMM Funded
E. Fetaya, Shamir, O., and Ullman, S., “Graph Approximation and Clustering on a Budget”, Artificial Intelligence and Statistics , vol. 38. 2015.PDF icon fetaya shamir Ullman 2015.pdf (664.26 KB)
CBMM Related
C. Fisher and Freiwald, W. A., “Contrasting Specializations for Facial Motion within the Macaque Face-Processing System”, Current Biology, vol. 25, no. 2, 2015.PDF icon Facial Motion Selectivity in the Macaque Brain (1.43 MB)
CBMM Funded
C. Frogner, Zhang, C., Mobahi, H., Araya-Polo, M., and Poggio, T., “Learning with a Wasserstein Loss”, in Advances in Neural Information Processing Systems (NIPS 2015) 28, 2015.PDF icon Learning with a Wasserstein Loss_1506.05439v2.pdf (2.57 MB)
CBMM Related
M. Hawrylycz, Miller, J. A., Menon, V., Feng, D., Dolbeare, T., Guillozet-Bongaarts, A. L., Jegga, A. G., Aronow, B. J., Lee, C. - K., Bernard, A., Glasser, M. F., Dierker, D. L., Menche, J., Szafer, A., Collman, F., Grange, P., Berman, K. A., Mihalas, S., Yao, Z., Stewart, L., Barabási, A. - L., Schulkin, J., Phillips, J., Ng, L., Dang, C., Haynor, D. R., Jones, A., Van Essen, D. C., Koch, C., and Lein, E., “Canonical genetic signatures of the adult human brain”, Nature Neuroscience, vol. 18, p. 1844, 2015.PDF icon Preprint (40.28 MB)
CBMM Related
L. Isik, Tacchetti, A., and Poggio, T., “Invariant representations for action recognition in the visual system”, Computational and Systems Neuroscience. 2015.
CBMM Funded
M. J. Johnson, Linderman, S. W., Datta, S. R., and Adams, R., “Discovering Switching Autoregressive Dynamics in Neural Spike Train Recordings”. Computational and Systems Neuroscience (Cosyne) Abstracts, Salt Lake City, UT, USA, 2015.PDF icon cosyne2015b.pdf (7.27 MB)
CBMM Related
D. Kliemann, Jacoby, N., Anzellottti, S., and Saxe, R., “Decoding task and stimulus representation in face-responsive cortex”. 2015.
CBMM Related
C. Koch and Tononi, G., “Consciousness: here, there and everywhere?”, Phil. Trans. Roy Society B, vol. 370, 2015.PDF icon Tononi & Koch '15.pdf (1.87 MB)
CBMM Related
T. Kulkarni, Kohli, P., Tenenbaum, J. B., and Mansinghka, V., “Picture: An Imperative Probabilistic Programming Language for Scene Perception”, in Computer Vision and Pattern Recognition, 2015.
CBMM Funded
S. W. Linderman, Adams, R., and Pillow, J., “Inferring structured connectivity from spike trains under negative-binomial generalized linear models”. Computational and Systems Neuroscience (Cosyne) Abstracts, Salt Lake City, UT, USA, 2015.PDF icon cosyne2015a.pdf (384.83 KB)
CBMM Related
D. Mendoza-Halliday, Torres, S., and Martinez-Trujillo, J., “Working Memory Representations of Visual Motion along the Primate Dorsal Visual Pathway”, in Mechanisms of Sensory Working Memory: Attention and Performance XXV., Elsevier Inc. , 2015.
CBMM Related
E. Meyers, “How PFC and LIP process single and multiple-object ‘pop-out’ displays”, Society for Neuroscience. 2015.
CBMM Funded
Y. Mroueh, Voinea, S., and Poggio, T., “Learning with Group Invariant Features: A Kernel Perspective”, in NIPS 2015, 2015.PDF icon LearningInvarianceKernel_NIPS2015.pdf (292.18 KB)
CBMM Related
L. J. Powell, Deen, B., Guo, L., and Saxe, R., “Using fNIRS to Map Functional Specificity in the Infant Brain: An fROI Approach”. 2015.PDF icon SRCD2015_NIRS_poster.pdf (2.14 MB)
CBMM Related
L. Rosasco and Villa, S., “Learning with incremental iterative regularization”, in NIPS 2015, 2015.PDF icon Learning with Incremental Iterative Regularization_1405.0042v2.pdf (504.66 KB)
CBMM Related
A. Rudi, Camoriano, R., and Rosasco, L., “Less is More: Nyström Computational Regularization”, in NIPS 2015, 2015.PDF icon Less is More- Nystr ̈om Computational Regularization_1507.04717v4.pdf (287.14 KB)
CBMM Funded
K. Scott, “Moving the lab home: validation of a web-based system for developmental studies”. 2015.
CBMM Related
A. Tacchetti, Isik, L., and Poggio, T., “Invariant representations for action recognition in the visual system.”, Vision Sciences Society, vol. 15, no. 12. Journal of vision, 2015.
CBMM Funded
J. Wang and Yuille, A., “Semantic Part Segmentation using Compositional Model combing Shape and Appearance”, in CVPR, 2015.PDF icon JianyuWangSemanticCVPR2015 (1).pdf (6.15 MB)
CBMM Funded
A. Wong and Yuille, A., “One Shot Learning via Compositions of Meaningful Patches”, in International Conference on Computer Vision (ICCV), 2015.PDF icon AlexWongOneShotCVPR2015.pdf (1.83 MB)
CBMM Funded
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

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