All Publications
2016
“Neural Representations Integrate the Current Field of View with the Remembered 360° Panorama”, Current Biology, 2016. ,
CBMM Funded
CBMM Memo No.
054
“Deep vs. shallow networks : An approximation theory perspective”. 2016. Original submission, visit the link above for the updated version (960.27 KB) ,
CBMM Funded
“Treebank of Learner English (TLE)”. 2016. acl2016.pdf (163.86 KB) ,
CBMM Funded
“Uncovering representations of sleep-associated hippocampal ensemble spike activity”, Scientific Reports, vol. 6, 2016. ,
CBMM Funded
CBMM Memo No.
050
“Contrastive Analysis with Predictive Power: Typology Driven Estimation of Grammatical Error Distributions in ESL”. 2016. memo-50.pdf (493.74 KB) ,
CBMM Funded
CBMM Memo No.
052
“Universal Dependencies for Learner English”. 2016. memo-52_rev1.pdf (472.67 KB) ,
CBMM Funded
CBMM Memo No.
049
“View-tolerant face recognition and Hebbian learning imply mirror-symmetric neural tuning to head orientation”. 2016. faceMirrorSymmetry_memo_ver01.pdf (3.93 MB) ,
CBMM Funded
“Functional neuroanatomy of intuitive physical inference”, Proceedings of the National Academy of Sciences, vol. 113, no. 34, pp. E5072 - E5081, 2016. ,
CBMM Funded
“Critical Behavior from Deep Dynamics: A Hidden Dimension in Natural Language”, arXiv.org, 2016. Critical Behavior from Deep Dynamics: A Hidden Dimension in Natural Language (1.64 MB) ,
CBMM Related
“Generation and Comprehension of Unambiguous Object Descriptions”, in The Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, Nevada, 2016. object_description_cbmm.pdf (2.21 MB) ,
CBMM Funded
“Visually indicated sounds”, in Conference on Computer Vision and Pattern Recognition, 2016. Owens_etal_2016_visually_indicated_sounds_CVPR.pdf (7.57 MB) ,
CBMM Related
CBMM Memo No.
048
“Probing the compositionality of intuitive functions”. 2016. CBMM-Memo-048.pdf (815.72 KB) ,
CBMM Related
“On invariance and selectivity in representation learning”, Information and Inference: A Journal of the IMA, p. iaw009, 2016. imaiai.iaw009.full_.pdf (267.87 KB) ,
CBMM Funded
“Preverbal Infants' Third-Party Imitator Preferences: Animated Displays versus Filmed Actors”, International Conference on Infant Studies (ICIS). New Orleans, Louisiana, 2016. Preverbal Infants' Third-Party Imitator Preferences: Animated Displays versus Filmed Actors (45.21 MB) ,
CBMM Funded
“Pre-reaching infants expect causal agents to act efficiently without motor training”, 20th Biennial International Conference on Infant Studies (ICIS). 2016. ,
CBMM Funded
“Individual Differences in Face Looking Behavior Generalize from the Lab to the World”, Journal of Vision, vol. 16, no. 7, 2016. Real World Face Fixations, Journal of Vision article, 2016 (20.25 MB) ,
CBMM Funded
“Is it time for a presidential technoethics commission”. The Conversation, 2016. rockmore - Is it time for a presidential technoethics commission.pdf (280.2 KB) ,
“How Infants Reason About Affective States and Social Interactions”, International Conference on Infant Studies (ICIS) . New Orleans, Louisiana , 2016. ,
CBMM Funded
“Early Reasoning about Affiliation and Social Networks”, in International Conference on Infant Studies (ICIS), New Orleans, LA, 2016. ,
CBMM Funded
“The Functions of Infants’ Social Categorization: Early Reasoning about Affiliation and Social Networks”, in International Conference on Infant Studies (ICIS), New Orleans, Louisiana, 2016. ,
CBMM Funded
“Effort as a bridging concept across action and action understanding: Weight and Physical Effort in Predictions of Efficiency in Other Agents”, in International Conference on Infant Studies (ICIS) , New Orleans, Louisiana, 2016. ,
CBMM Funded
CBMM Memo No.
047
“Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex”. 2016. CBMM Memo No. 047 (1.29 MB) ,
CBMM Funded
CBMM Memo No.
046
“Building machines that learn and think like people”. 2016. machines_that_think.pdf (3.45 MB) ,
CBMM Funded
“Deep Learning: mathematics and neuroscience”. 2016. Deep Learning- mathematics and neuroscience.pdf (1.25 MB) ,
“Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval”, arXiv.org, 2016. 1603.04595.pdf (2.9 MB) ,
CBMM Related