Export 852 results:
Decrease in gamma-band activity tracks sequence learning. Frontiers in Systems Neuroscience 8, (2015).
Discovering hierarchical motion structure. Vision Research Available online 26 March 2015, (2015).
Discriminative Template Learning in Group-Convolutional Networks for Invariant Speech Representations. INTERSPEECH-2015 (International Speech Communication Association (ISCA), 2015). at <http://www.isca-speech.org/archive/interspeech_2015/i15_3229.html>
Do You See What I Mean? Visual Resolution of Linguistic Ambiguities. Conference on Empirical Methods in Natural Language Processing, Lisbon, Portugal. (2015).
Dynamics of 3D view invariance in monkey inferotemporal cortex. Journal of Neurophysiology 11319212373232821, 2180 - 2194 (2015).
Early Reasoning about Affiliation and Caregiving. Cognitive Development Society (CDS) (2015).
Efficient and robust analysis-by-synthesis in vision: A computational framework, behavioral tests, and modeling neuronal representations. Annual Conference of the Cognitive Science Society (2015).
Expansion microscopy. Science 347 , 543-548 (2015).
Face Patch Resting State Networks Link Face Processing to Social Cognition. PLoS Biology 13, e1002245 (2015).
A fine-grained understanding of emotions: Young children match within-valence emotional expressions to their causes. Cognitive Science Conference (CogSci) 2685-2690 (2015).
From spatial symbols to Euclidean intuitions. Cognitive Development Society (CDS) (2015). at <http://cogdevsoc.org/sites/default/files/Official%20Full%20Conference%20Proceedings_10.10.pdf>
From spatial symbols to Euclidean intuitions. Biennial Meeting of Cognitive Development Society (2015).
Functional organization of social perception and cognition in the superior temporal sulcus. Cerebral Cortex 25, 4596-4609 (2015).
Functional organization of the human superior temporal sulcus. Organization for Human Brain Mapping (OHBM 2015) (2015). at <https://ww4.aievolution.com/hbm1501/index.cfm?do=abs.viewAbs&abs=3635>
Galileo: Perceiving physical object properties by integrating a physics engine with deep learning. NIPS 2015 (2015). at <https://papers.nips.cc/paper/5780-galileo-perceiving-physical-object-properties-by-integrating-a-physics-engine-with-deep-learning>
Graph Approximation and Clustering on a Budget. Artificial Intelligence and Statistics 38, (2015).
How PFC and LIP process single and multiple-object ‘pop-out’ displays. Society for Neuroscience (2015). at <https://www.sfn.org/~/media/SfN/Documents/Annual%20Meeting/FinalProgram/NS2015/Full%20Abstract%20PDFs%202015/SfN15_Abstracts_PDF_Nanos.ashx>
How, whether, why: Causal judgments as counterfactual contrasts. Annual Meeting of the Cognitive Science Society (CogSci) 782-787 (2015). at <https://mindmodeling.org/cogsci2015/papers/0142/index.html>