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Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval. arXiv.org (2016). at <https://arxiv.org/abs/1603.04595> 1603.04595.pdf (2.9 MB)
Neural Information Processing Systems (NIPS) 2015 Review. (2016). Read the Views & Review article by Gabriel Kreiman (443.87 KB)
Neural Representations Integrate the Current Field of View with the Remembered 360° Panorama. Current Biology (2016). doi:10.1016/j.cub.2016.07.002
Neural Tuning Size in a Model of Primate Visual Processing Accounts for Three Key Markers of Holistic Face Processing. Public Library of Science | PLoS ONE 1(3): e0150980, (2016). journal.pone_.0150980.PDF (384.15 KB)
New Data Science tools for analyzing neural data and computational models. Society for Neuroscience (2016).
From Neuron to Cognition via Computational Neuroscience (The MIT Press, 2016). at <https://mitpress.mit.edu/neuron-cognition>
Pragmatic Reasoning through Semantic Inference. Semantics and Pragmatics Vol 9 (2016) , (2016). BergenLevyGoodman2015.pdf (1.12 MB)
Predicting episodic memory formation for movie events. Scientific Reports (2016). doi:10.1038/srep30175
PredNet - "Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning" [code]. (2016).
Pre-reaching infants expect causal agents to act efficiently without motor training. 20th Biennial International Conference on Infant Studies (ICIS) (2016).
Preverbal Infants' Third-Party Imitator Preferences: Animated Displays versus Filmed Actors. International Conference on Infant Studies (ICIS) (2016). Preverbal Infants' Third-Party Imitator Preferences: Animated Displays versus Filmed Actors (45.21 MB)
Probing the compositionality of intuitive functions. (2016). CBMM-Memo-048.pdf (815.72 KB)
Rapid Physical Predictions from Convolutional Neural Networks. Neural Information Processing Systems, Intuitive Physics Workshop (2016). at <http://phys.csail.mit.edu/papers/9.pdf> Rapid Physical Predictions - NIPS Physics Workshop Poster (1.47 MB)
Recognizing and Interpreting Social Interactions in Local Image Regions. The 24th Annual Workshop on Object Perception, Attention, and Memory (OPAM), Boston, MA (2016).
A Review of Relational Machine Learning for Knowledge Graphs. Proceedings of the IEEE 104, 11 - 33 (2016). 1503.00759v3.pdf (1.53 MB)
Review of the CBMM workshop on the Turing++ Question: 'who is there?'. (2016). Review of the CBMM workshop on the Turing++ Question- 'who is there?' .pdf (555.71 KB)
Statistics of natural reverberation enable perceptual separation of sound and space. Proceedings of the National Academy of Sciences 113, E7856 - E7865 (2016).
Streaming Normalization: Towards Simpler and More Biologically-plausible Normalizations for Online and Recurrent Learning. (2016). CBMM-Memo-057.pdf (1.27 MB)
Theory I: Why and When Can Deep Networks Avoid the Curse of Dimensionality?. (2016). CBMM-Memo-058v1.pdf (2.42 MB) CBMM-Memo-058v5.pdf (2.45 MB) CBMM-Memo-058-v6.pdf (2.74 MB) Proposition 4 has been deleted (2.75 MB)