All Publications

2020

J. Schwartz, Alter, S., DiCarlo, J. J., McDermott, J. H., Tenenbaum, J. B., Yamins, D. L. K., Gutfreund, D., Gan, C., Traer, J., Kubilius, J., Schrimpf, M., Bhandwaldar, A., De Freitas, J., Mrowca, D., Lingelbach, M., Sano, M., Bear, D., Kim, K., Haber, N., and Fan, C., “ThreeDWorld (TDW): A High-Fidelity, Multi-Modal Platform for Interactive Physical Simulation”. 2020.

2019

K. Brewer, Mittman, B., Kominsky, J., and Henes, J., “Open Source Subject Database Project (OSSDP)”. Center for Brains, Minds and Machines, 2019.
CBMM Funded

2018

D. Muir, Fang, X., and Meyers, E., “Brain-Observatory-Toolbox”. 2018.
CBMM Funded
L. Isik and Tacchetti, A., “MEG action recognition data”. 2018.
CBMM Funded

2017

A. Tacchetti, Isik, L., and Poggio, T., “Invariant action recognition dataset”. 2017.
CBMM Funded
A. Volokitin and Roig, G., “Do Deep Neural Networks Suffer from Crowding? [code]”. 2017.
CBMM Funded

2016

Y. Berzak, Kenney, J., Spadine, C., Wang, J. Xian, Lam, L., Mori, K. Sophie, Garza, S., and Katz, B., “Treebank of Learner English (TLE)”. 2016.PDF icon acl2016.pdf (163.86 KB)
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
W. Lotter, Kreiman, G., and Cox, D., “PredNet - "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning" [code]”. 2016.
CBMM Related
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
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

2015

J. Z. Leibo, Liao, Q., Anselmi, F., and Poggio, T., “The Invariance Hypothesis Implies Domain-Specific Regions in Visual Cortex”. 2015.Binary Data modularity_dataset_ver1.tar.gz (36.14 MB)
CBMM Funded

2014

G. Kreiman, “People, objects and interactions in movies”. 2014.
CBMM Related
L. Isik, Meyers, E., Leibo, J. Z., and Poggio, T., “The dynamics of invariant object recognition in the human visual system.”. 2014.
CBMM Related
J. Z. Leibo, Liao, Q., and Poggio, T., “Subtasks of unconstrained face recognition”. 2014.
CBMM Funded
J. Xu, Jiang, M., Wang, S., Kankanhalli, M., and Zhao, Q., “Predicting Saliency Beyond Pixels”. 2014.
J. Singer and Kreiman, G., “Short temporal asynchrony disrupts visual object recognition”. Journal of Vision, 2014.
CBMM Related
J. Singer and Kreiman, G., “Short temporal asynchrony disrupts visual object recognition”. Journal of Vision, 2014.
CBMM Related

2013

L. Rosasco, “Object recognition data sets (iCub/IIT)”. 2013.
E. Meyers, “The Neural Decoding Toolbox”. 2013.
CBMM Related
C. F. Cadieu, Hong, H., Yamins, D. L. K., Pinto, N., Majaj, N. J., and DiCarlo, J. J., “Neural Representation Benchmark [code]”. 2013.
CBMM Funded

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