All Publications

2016

CBMM Memo No.
056
CBMM Funded
CBMM Memo No.
053
CBMM Funded
Z. Chen, Linderman, S. W., and Wilson, M. A., Bayesian nonparametric methods for discovering latent structures of rat hippocampal ensemble spikes, in IEEE Workshop on Machine Learning for Signal Processing, Salerno, Italy, 2016.PDF icon MLSP16 (1).pdf (1.04 MB)
CBMM Funded
T. Poggio and Anselmi, F., Visual Cortex and Deep Networks: Learning Invariant Representations. Cambridge, MA, USA: The MIT Press, 2016, p. 136.
CBMM Funded
J. Traer and McDermott, J. H., Statistics of natural reverberation enable perceptual separation of sound and space, Proceedings of the National Academy of Sciences, vol. 113, no. 48, pp. E7856 - E7865, 2016.
CBMM Funded
J. Fischer, Mikhael, J. G., Tenenbaum, J. B., and Kanwisher, N., Functional neuroanatomy of intuitive physical inference, Proceedings of the National Academy of Sciences, vol. 113, no. 34, pp. E5072 - E5081, 2016.
CBMM Funded
J. Mao, Huang, J., Toshev, A., Camburu, O., Yuille, A., and Murphy, K., Generation and Comprehension of Unambiguous Object Descriptions, in The Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, Nevada, 2016.PDF icon object_description_cbmm.pdf (2.21 MB)
CBMM Funded
CBMM Related
F. Anselmi, Rosasco, L., and Poggio, T., On invariance and selectivity in representation learning, Information and Inference: A Journal of the IMA, p. iaw009, 2016.PDF icon imaiai.iaw009.full_.pdf (267.87 KB)
CBMM Funded
S. Liu, Brooks, N. B., and Spelke, E. S., Pre-reaching infants expect causal agents to act efficiently without motor training, 20th Biennial International Conference on Infant Studies (ICIS). 2016.
CBMM Funded

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