All Publications
2019
“Evidence that recurrent circuits are critical to the ventral stream’s execution of core object recognition behavior”, Nature Neuroscience, 2019.
Author's last draft (1.74 MB) ,
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CBMM Funded
“Data for free: Fewer-shot algorithm learning with parametricity data augmentation”, in ICLR 2019, 2019. ,
CBMM Related
“Neural mechanisms supporting facial expressions ”, in unknown, New York, NY, USA, 2019. ,
CBMM Funded
“Dynamics & Generalization in Deep Networks -Minimizing the Norm”, in NAS Sackler Colloquium on Science of Deep Learning, Washington D.C., 2019. ,
CBMM Funded
“How Does the Brain Represents Language and Answers Questions? Using an AI System to Understand the Underlying Neurobiological Mechanisms”, Frontiers in Computational Neuroscience, vol. 13, 2019. ,
CBMM Funded
“Incentives Boost Model-Based Control Across a Range of Severity on Several Psychiatric Constructs”, Biological Psychiatry, vol. 85, no. 5, pp. 425 - 433, 2019. ,
CBMM Funded
“Parts‐based representations of perceived face movements in the superior temporal sulcus”, Human Brain Mapping, vol. 40, no. 8, pp. 2499 - 2510, 2019. ,
CBMM Funded
“How to never be wrong”, Psychonomic Bulletin & Review, vol. 26, no. 1, pp. 13 - 28, 2019. ,
CBMM Funded
“The transdiagnostic structure of mental effort avoidance”, Scientific Reports, vol. 9, no. 1, 2019. ,
CBMM Related
“Using neuroscience to develop artificial intelligence”, Science, vol. 363, no. 6428, pp. 692 - 693, 2019. ,
CBMM Related
“A model for discovering ‘containment’ relations”, Cognition, vol. 183, pp. 67 - 81, 2019. ,
CBMM Related
“Blind Constant Modulus Multiuser Detection via Low-Rank Approximation”, IEEE Signal Processing Letters, pp. 1 - 1, 2019. ,
CBMM Funded
“Language, gesture, and judgment: Children’s paths to abstract geometry”, Journal of Experimental Child Psychology, vol. 177, pp. 70 - 85, 2019. ,
CBMM Funded
“How face perception unfolds over time”, Nature Communications, vol. 10, no. 1, 2019. ,
CBMM Funded
“See, feel, act: Hierarchical learning for complex manipulation skills with multisensory fusion”, Science Robotics, vol. 4, no. 26, p. eaav3123, 2019. ,
CBMM Funded
“Deep neural network models of sensory systems: windows onto the role of task constraints”, Current Opinion in Neurobiology, vol. 55, pp. 121 - 132, 2019. ,
CBMM Related
“An integrative computational architecture for object-driven cortex”, Current Opinion in Neurobiology, vol. 55, pp. 73 - 81, 2019. ,
CBMM Funded
“Fast and Accurate Seismic Tomography via Deep Learning”, in Deep Learning: Algorithms and Applications, SPRINGER-VERLAG, 2019. ,
CBMM Related
“To find better neural network models of human vision, find better neural network models of primate vision”, in BioRxiv, 2019. ,
CBMM Funded
“Are topographic deep convolutional neural networks better models of the ventral visual stream?”, in Conference on Cognitive Computational Neuroscience, 2019. ,
CBMM Related
“What do neurons really want? The role of semantics in cortical representations.”, in Psychology of Learning and Motivation, vol. 70, 2019. ,
CBMM Funded
“Hard choices: Children’s understanding of the cost of action selection. ”, in Cognitive Science Society, 2019.
phk_cogsci_2019_final.pdf (276.14 KB) ,
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CBMM Funded
“People's perceptions of others’ risk preferences.”, in Cognitive Science Society, 2019.
risk_cogsci_2019_final.pdf (899.8 KB) ,
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CBMM Funded
“Origins of the concepts cause, cost, and goal in prereaching infants.”, Cognitive Development Society. 2019.
liu_etal_lumi_cds2019_final.pdf (22.95 MB) ,
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CBMM Funded
“Minimal images in deep neural networks: Fragile Object Recognition in Natural Images”, in International Conference on Learning Representations (ICLR), New Orleans, La, 2019. ,
CBMM Funded