Export 652 results:
Learning mid-level codes for natural sounds. Computational and Systems Neuroscience (Cosyne) 2016 (2016). at <http://www.cosyne.org/c/index.php?title=Cosyne2016_posters_2>
Learning Mid-Level Codes for Natural Sounds. Advances and Perspectives in Auditory Neuroscience (2016).
Learning to Answer Questions from Wikipedia Infoboxes. The 2016 Conference on Empirical Methods on Natural Language Processing (EMNLP 2016) (2016).
Lecture Notes in Computer ScienceComputer Vision – ECCV 2016Ambient Sound Provides Supervision for Visual Learning. 14th European Conference on Computer Vision 801 - 816 (2016). doi:10.1007/978-3-319-46448-010.1007/978-3-319-46448-0_48
Lossy Compression of Sound Texture by the Human Auditory System. Society for Neuroscience Meeting (2016).
A machine learning approach to predict episodic memory formation. 2016 Annual Conference on Information Science and Systems (CISS) 539 - 544 (2016). doi:10.1109/CISS.2016.7460560
Making learning count: A large-scale randomized control trial testing the effects of core mathematical training on school readiness in young children. International Mind, Brain and Education Society (2016).
Mastery of the logic of natural numbers is not the result of mastery of counting: Evidence from late counters. . Developmental Science (2016). doi:10.1111/desc.12459
Measuring and modeling the perception of natural and unconstrained gaze in humans and machines. (2016).
Mechanisms of color perception and cognition covered by #thedress. VSS 2016 16, 746 (2016).
Mechanisms of color perception and cognition covered by# thedress. VSS 2016 16, 746-746 (2016).
Modeling Human Ad Hoc Coordination. AAAI (2016).
Modeling human understanding of complex intentional action with a Bayesian nonparametric subgoal model. AAAI (2016).
The naive utility calculus: computational principles underlying social cognition. Trends Cogn Sci. (2016). doi:10.1016/j.tics.2016.05.011
Natural science: Active learning in dynamic physical microworlds. 38th Annual Meeting of the Cognitive Science Society (2016).
Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval. arXiv.org (2016). at <https://arxiv.org/abs/1603.04595>
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).
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>
The occipital place area represents the local elements of scenes. NeuroImage 132, 417 - 424 (2016).