All Publications

2019

W. Xiao, Chen, H., Liao, Q., and Poggio, T., Biologically-plausible learning algorithms can scale to large datasets., in International Conference on Learning Representations, (ICLR 2019), 2019.PDF icon gk7779.pdf (721.53 KB)
CBMM Funded

2018

CBMM Funded
W. Kool and Botvinick, M., Mental labour, Nature Human Behaviour, vol. 2, no. 12, pp. 899 - 908, 2018.
CBMM Funded
CBMM Funded
CBMM Memo No.
094
CBMM Funded
J. P. McCoy and Ullman, T. D., A Minimal Turing Test, Journal of Experimental Social Psychology, vol. 79, pp. 1 - 8, 2018.
CBMM Related
CBMM Funded
J. Sliwa, Marvel, S. R., Ianni, G. A., and Freiwald, W. A., Comparing human and monkey neural circuits for processing social scenes, Société Francophone de Primatologie (SFDP) Annual Meeting, Paris, France. 2018.
CBMM Funded
W. Kool, Gershman, S. J., and Cushman, F. A., Planning Complexity Registers as a Cost in Metacontrol, Journal of Cognitive Neuroscience, vol. 30, no. 10, pp. 1391 - 1404, 2018.
CBMM Funded
Y. - L. Kuo, Barbu, A., and Katz, B., Deep sequential models for sampling-based planning, in The IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2018), Madrid, Spain, 2018.PDF icon kuo2018planning.pdf (637.67 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
CBMM Funded
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

Pages