All Publications

2019

S. Ullman, Using neuroscience to develop artificial intelligence, Science, vol. 363, no. 6428, pp. 692 - 693, 2019.
CBMM Related

2018

CBMM Memo No.
094
CBMM Funded
CBMM Funded
Y. - L. Kuo, Barbu, A., and Katz, B., Deep sequential models for sampling-based planning, in International Conference on Intelligent Robots, 2018.PDF icon kuo2018planning.pdf (628.98 KB)
CBMM Funded
E. Meyers, Dynamic population coding and its relationship to working memory, Journal of Neurophysiology, vol. 120, no. 5, pp. 2260 - 2268, 2018.
CBMM Funded
C. Ross, Barbu, A., Berzak, Y., Myanganbayar, B., and Katz, B., Grounding language acquisition by training semantic parsers using captioned videos, in Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing, 2018.PDF icon D18-1285.pdf (3.5 MB)
A. Tacchetti, Isik, L., and Poggio, T., Invariant Recognition Shapes Neural Representations of Visual Input, Annual Review of Vision Science, vol. 4, no. 1, pp. 403 - 422, 2018.PDF icon annurev-vision-091517-034103.pdf (1.55 MB)
CBMM Funded
E. Zisselman, Adler, A., and Elad, M., Compressed Learning for Image Classification: A Deep Neural Network Approach, in Handbook of Numerical Analysis, vol. 19, Elsevier, 2018, pp. 3 - 17.
CBMM Related
CBMM Memo No.
096
CBMM Funded
R. Saxe, Imaging the infant brain, Japanese Society for Neuroscience, vol. Kobe Japan. 2018.
CBMM Related

Pages