All Publications
2017
“Why and when can deep-but not shallow-networks avoid the curse of dimensionality: A review”, International Journal of Automation and Computing, pp. 1-17, 2017.
art%3A10.1007%2Fs11633-017-1054-2.pdf (1.68 MB) ,
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CBMM Funded
“Lookit (Part 1): a new online platform for developmental research”, Open Mind, vol. 1, no. 1, 2017.
UNCORRECTED PROOF (561.21 KB) ,
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
CBMM Funded
“Lookit (Part 2): Assessing the viability of online developmental research, Results from three case studies”, Open Mind, vol. 1, no. 1, 2017.
lookitpart2.pdf (464.02 KB) ,
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CBMM Funded
“Inferring Beliefs and Desires From Emotional Reactions to Anticipated and Observed Events”, Child Development, 2017.
Wu_et_al-2017-Child_Development.pdf (883.1 KB) ,
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
CBMM Funded
CBMM Memo No.
061
“Full interpretation of minimal images”. 2017.
CBMM Memo 061 v.1 (4.64 MB)
CBMM Memo 061 v.2 (5.41 MB) ,
![application/pdf PDF icon](/modules/file/icons/application-pdf.png)
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CBMM Funded
“The Quest for the FFA and Where It Led”, The Journal of Neuroscience, vol. 37, no. 5, pp. 1056 - 1061, 2017. ,
CBMM Funded
“The cradle of social knowledge: Infants' reasoning about caregiving and affiliation”, Cognition, vol. 159, pp. 102-116, 2017. ,
CBMM Funded
CBMM Memo No.
060
“Learning Mid-Level Auditory Codes from Natural Sound Statistics”. 2017.
MlynarskiMcDermott_Memo060.pdf (7.11 MB) ,
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CBMM Funded
“Compression of Deep Neural Networks for Image Instance Retrieval”, 2017.
1701.04923.pdf (614.33 KB) ,
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CBMM Related
“Organization of high-level visual cortex in human infants”, Nature Communications, 2017. ,
CBMM Funded
“View-Tolerant Face Recognition and Hebbian Learning Imply Mirror-Symmetric Neural Tuning to Head Orientation”, Current Biology, vol. 27, pp. 1-6, 2017. ,
CBMM Funded
“Predicting actions from subtle preparatory movements”, Cognition, vol. 168, pp. 65 - 75, 2017. ,
CBMM Funded
“Predicting Native Language from Gaze”, in Annual Meeting of the Association for Computational Linguistics (ACL 2017), 2017. ,
CBMM Funded
“Causal learning from interventions and dynamics in continuous time”, Cognitive Science Conference. 2017.
Bramley et al. - 2017 - Causal learning from interventions and dynamics in.pdf (1.78 MB) ,
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CBMM Funded
“Eccentricity Dependent Deep Neural Networks: Modeling Invariance in Human Vision”, in AAAI Spring Symposium Series, Science of Intelligence, 2017.
paper.pdf (963.87 KB) ,
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CBMM Funded
“Deciphering neural codes of memory during sleep”, Trends in Neurosciences, 2017.
proof (2.98 MB) ,
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CBMM Funded
“Markov transitions between attractor states in a recurrent neural network”, AAAI. 2017.
aaai-abstract (1).pdf (357.72 KB) ,
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CBMM Related
“Theoretical principles of multiscale spatiotemporal control of neuronal networks: a complex systems perspective”, 2017.
StimComplexity.pdf (218.1 KB) ,
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CBMM Related
“Design of the Artificial: lessons from the biological roots of general intelligence”, 2017.
DesignArtificial_Dehghani_arXiv.pdf (222.47 KB) ,
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CBMM Related
“Active Video Summarization: Customized Summaries via On-line Interaction.”, in AAAI Conference on Artificial Intelligence, 2017.
21-Garcia-del-Molino-14856.pdf (413.77 KB) ,
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CBMM Related
“Spatial cognition across development”, in SRCD, Austin, TX, 2017. ,
CBMM Funded
“Young children's use of distance and angle information during map reading”, SRCD. Austin, TX, 2017. ,
CBMM Related
“Reinforcement learning and episodic memory in humans and animals: an integrative framework”, Annual Review of Psychology, vol. 68, 2017.
GershmanDaw17.pdf (422.11 KB) ,
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CBMM Funded
“Eye-Tracking Causality”, Psychological Science, 2017.
eye_tracking_causality.pdf (8.04 MB) ,
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CBMM Funded
“Size-Independent Sample Complexity of Neural Networks”, 2017.
1712.06541.pdf (278.77 KB) ,
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CBMM Related