Publication
Export 900 results:
Character-building stories. Advances in Cognitive Systems (2017).
Children understand that agents maximize expected utilities. Journal of Experimental Psychology: General 146, 1574 - 1585 (2017). ExpectedUtilities_Final.pdf (950.09 KB)
Comparing human and monkey neural circuits for processing social scenes. Society for Neuroscience's Annual Meeting - SfN 2017 (2017).
Compression of Deep Neural Networks for Image Instance Retrieval. (2017). at <https://arxiv.org/abs/1701.04923> 1701.04923.pdf (614.33 KB)
Cost-Benefit Arbitration Between Multiple Reinforcement-Learning Systems. Psychol Sci 28, 1321-1333 (2017).
The cradle of social knowledge: Infants' reasoning about caregiving and affiliation. Cognition 159, 102-116 (2017).
Critical Cues in Early Physical Reasoning. SRCD (2017).
A Data Science approach to analyzing neural data. Joint Statistical Meetings (2017).
A Dedicated Network for Social Interaction Processing in the Primate Brain. Science Vol. 356, pp. 745-749 (2017).
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning. ICLR (2017). 1605.08104.pdf (2.9 MB)
Deep Predictive Coding Networks for Video Prediction and Unsupervised Learning. (2017). CBMM-Memo-064.pdf (3 MB)
Design of the Artificial: lessons from the biological roots of general intelligence. (2017). at <https://arxiv.org/pdf/1703.02245> DesignArtificial_Dehghani_arXiv.pdf (222.47 KB)
Detecting Semantic Parts on Partially Occluded Objects. (2017). CBMM-Memo-078.pdf (1.74 MB)
Detecting Semantic Parts on Partially Occluded Objects. British Machine Vision Conference (BMVC) (2017). at <https://bmvc2017.london/proceedings/>
Differences in dynamic and static coding within different subdivision of the prefrontal cortex. Society for Neuroscience's Annual Meeting - SfN 2017 (2017). at <http://www.abstractsonline.com/pp8/#!/4376/presentation/4782>
Differential Processing of Isolated Object and Multi-item Pop-Out Displays in LIP and PFC. Cerebral Cortex (2017). doi:10.1093/cercor/bhx243
Discriminate-and-Rectify Encoders: Learning from Image Transformation Sets. (2017). CBMM-Memo-062.pdf (9.37 MB)
Do Deep Neural Networks Suffer from Crowding?. (2017). CBMM-Memo-069.pdf (6.47 MB)
Eccentricity Dependent Deep Neural Networks for Modeling Human Vision. Vision Sciences Society (2017).
Eccentricity Dependent Deep Neural Networks: Modeling Invariance in Human Vision. AAAI Spring Symposium Series, Science of Intelligence (2017). at <https://www.aaai.org/ocs/index.php/SSS/SSS17/paper/view/15360> paper.pdf (963.87 KB)
Effect of silhouetting and inversion on view invariance in the monkey inferotemporal cortex. Journal of Neurophysiology 11823, 353 - 362 (2017).