All Publications

2016

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
J. Mao, Xu, J., Jing, Y., and Yuille, A., “Training and Evaluating Multimodal Word Embeddings with Large-scale Web Annotated Images”, in NIPS 2016, 2016.PDF icon 6590-training-and-evaluating-multimodal-word-embeddings-with-large-scale-web-annotated-images.pdf (1.57 MB)
CBMM Funded
E. Meyers, Dean, M., and Hale, G. J., “New Data Science tools for analyzing neural data and computational models”, Society for Neuroscience. 2016.
CBMM Funded
T. Miconi, Groomes, L., and Kreiman, G., “There's Waldo! A Normalization Model of Visual Search Predicts Single-Trial Human Fixations in an Object Search Task”, Cerebral Cortex, vol. 26(7), pp. 26:3064-3082, 2016.
CBMM Funded
T. Miconi, Groomes, L., and Kreiman, G., “There’s Waldo! A Normalization Model of Visual Search Predicts Single-Trial Human Fixations in an Object Search Task [code]”. 2016.
CBMM Funded
T. Miconi, Groomes, L., and Kreiman, G., “There’s Waldo! A Normalization Model of Visual Search Predicts Single-Trial Human Fixations in an Object Search Task [dataset]”. 2016.
CBMM Funded
W. Mlynarski and McDermott, J. H., “Learning Mid-Level Codes for Natural Sounds”, Advances and Perspectives in Auditory Neuroscience. 2016.PDF icon APAN_large_JHM kopia.pdf (19.74 MB)
CBMM Funded
W. Mlynarski and McDermott, J. H., “Lossy Compression of Sound Texture by the Human Auditory System”, Society for Neuroscience Meeting. 2016.
CBMM Funded
A. Morales, Premtoon, V., Avery, C., Felshin, S., and Katz, B., “Learning to Answer Questions from Wikipedia Infoboxes”, in The 2016 Conference on Empirical Methods on Natural Language Processing (EMNLP 2016), 2016.PDF icon Morales-EMNLP2016.pdf (197.28 KB)
CBMM Funded
M. Nickel, Rosasco, L., and Poggio, T., “Holographic Embeddings of Knowledge Graphs”, in Thirtieth AAAI Conference on Artificial Intelligence (AAAI-16), Phoenix, Arizona, USA, 2016.PDF icon 1510.04935v2.pdf (360.65 KB)
CBMM Funded
F. Peres, Smith, K. A., and Tenenbaum, J. B., “Rapid Physical Predictions from Convolutional Neural Networks”, Neural Information Processing Systems, Intuitive Physics Workshop. 2016.PDF icon Rapid Physical Predictions - NIPS Physics Workshop Poster (1.47 MB)
CBMM Related
M. F. Peterson, Lin, J., Zaun, I., and Kanwisher, N., “Individual differences in face-looking behavior generalize from the lab to the world.”, Journal of Vision, 2016.
CBMM Funded
J. Sliwa and Freiwald, W. A., “From agents to actions to interactions: Uncovering multiple social networks in the primate brain”, Society for Neuroscience. 2016.PDF icon SFN2016.pdf (555.77 KB)
CBMM Related
E. S. Spelke, Barner, D., and Baron, A. S., “Core knowledge and conceptual change: A perspective on social cognition”, in Core Knowledge and Conceptual Change, New York: Oxford University Press, 2016.
CBMM Related
E. S. Spelke, Sternberg, R. J., Fiske, S. T., and Foss, D. J., “Cognitive abilities of infants”, in Scientists Making a Difference: One Hundred Eminent Behavioral and Brain Scientists Talk about Their Most Important Contributions, Cambridge, UK: Cambridge University Press, 2016.
CBMM Related
A. C. Spokes and Spelke, E. S., “Children’s Expectations and Understanding of Kinship as a Social Category”, Frontiers in Psychology, vol. 7, no. 440, pp. 1664-1078, 2016.
CBMM Funded
A. C. Spokes, Howard, R., Mehr, S. A., and Krasnow, M. M., “Welfare-tradeoff ratios in children”, Human Behavior and Evolution Society. Vancouver, Canada, 2016.
CBMM Related
A. Tacchetti, Isik, L., and Poggio, T., “Spatio-temporal convolutional networks explain neural representations of human actions”, 2016.
CBMM Funded
H. Tang, Singer, J., Ison, M. J., Pivazyan, G., Romaine, M., Meller, E., Perron, V., Arlellano, M., Kreiman, G., Romaine, M., Boulin, A., Frias, R., Carroll, J., and Dowcett, S., “A machine learning approach to predict episodic memory formation”, 2016 Annual Conference on Information Science and Systems (CISS) . Princeton, NJ , pp. 539 - 544 , 2016.
CBMM Funded
H. Tang, Yu, H. - Y., Chou, C. - C., Crone, N. E., Madsen, J., Anderson, W. S., and Kreiman, G., “Cascade of neural processing orchestrates cognitive control in human frontal cortex [code]”. eLife, 2016.
CBMM Related
H. Tang, Yu, H. - Y., Chou, C. - C., Crone, N. E., Madsen, J., Anderson, W. S., and Kreiman, G., “Cascade of neural processing orchestrates cognitive control in human frontal cortex [dataset]”. eLife, 2016.
CBMM Related
H. Tang, Singer, J., Ison, M., Pivazyan, G., Romaine, M., Frias, R., Meller, E., Boulin, A., Carroll, J., Perron, V., Dowcett, S., Arlellano, M., and Kreiman, G., “Predicting episodic memory formation for movie events [code]”. 2016.
CBMM Funded
H. Tang, Singer, J., Ison, M., Pivazyan, G., Romaine, M., Frias, R., Meller, E., Boulin, A., Carroll, J., Perron, V., Dowcett, S., Arlellano, M., and Kreiman, G., “Predicting episodic memory formation for movie events [dataset]”. 2016.
CBMM Funded
J. Traer and McDermott, J. H., “Environmental statistics enable perceptual separation of sound and space”, Speech and Audio in the Northeast. 2016.
CBMM Related

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