All Publications
2017
“Neuronal population coding of perceived and memorized visual features in the lateral prefrontal cortex”, Nature Communications, vol. 8, 2017. ,
CBMM Related
“Children understand that agents maximize expected utilities.”, Journal of Experimental Psychology: General, vol. 146, no. 11, pp. 1574 - 1585, 2017. ExpectedUtilities_Final.pdf (950.09 KB) ,
CBMM Related
“Effect of silhouetting and inversion on view invariance in the monkey inferotemporal cortex”, Journal of Neurophysiology, vol. 11823, no. 1, pp. 353 - 362, 2017. ,
CBMM Related
“Noninvasive Deep Brain Stimulation via Temporally Interfering Electric Fields”, Cell, vol. 169, no. 6, pp. 1029 - 1041.e16, 2017. ,
CBMM Funded
“A Balanced Comparison of Object Invariances in Monkey IT Neurons”, eneuro, vol. 4, no. 2, pp. ENEURO.0333-16.2017, 2017. ,
CBMM Related
“Seeing a straight line on a curved surface: decoupling of patterns from surfaces by single IT neurons”, Journal of Neurophysiology, vol. 11773, no. 1, pp. 104 - 116, 2017. ,
CBMM Related
“Cost-Benefit Arbitration Between Multiple Reinforcement-Learning Systems.”, Psychol Sci, vol. 28, no. 9, pp. 1321-1333, 2017. ,
CBMM Funded
“Building machines that learn and think like people.”, Behavioral and Brain Sciences, vol. 40, p. e253, 2017. ,
CBMM Funded
“Compositional inductive biases in function learning.”, Cogn Psychol, vol. 99, pp. 44-79, 2017. ,
CBMM Funded
CBMM Memo No.
073
“Theory of Deep Learning III: explaining the non-overfitting puzzle”. 2017. CBMM-Memo-073.pdf (2.65 MB) CBMM Memo 073 v2 (revised 1/15/2018) (2.81 MB) CBMM Memo 073 v3 (revised 1/30/2018) (2.72 MB) CBMM Memo 073 v4 (revised 12/30/2018) (575.72 KB) ,
CBMM Funded
CBMM Memo No.
072
“Theory of Deep Learning IIb: Optimization Properties of SGD”. 2017. CBMM-Memo-072.pdf (3.66 MB) ,
CBMM Funded
CBMM Memo No.
071
“Theory of Intelligence with Forgetting: Mathematical Theorems Explaining Human Universal Forgetting using “Forgetting Neural Networks””. 2017. CBMM-Memo-071.pdf (2.54 MB) ,
CBMM Funded
“Self-supervised intrinsic image decomposition.”, in Annual Conference on Neural Information Processing Systems (NIPS), Long Beach, CA, 2017. intrinsicImg_nips_2017.pdf (5.87 MB) ,
CBMM Funded
“Invariant recognition drives neural representations of action sequences”, PLOS Computational Biology, vol. 13, no. 12, p. e1005859, 2017. journal.pcbi_.1005859.pdf (9.24 MB) ,
CBMM Funded
“Learning to See Physics via Visual De-animation”, Advances in Neural Information Processing Systems 30. pp. 152–163, 2017. Learning to See Physics via Visual De-animation (1.11 MB) ,
CBMM Funded
“MarrNet: 3D Shape Reconstruction via 2.5D Sketches”, Advances in Neural Information Processing Systems 30. Curran Associates, Inc., Long Beach, CA, pp. 540–550, 2017. MarrNet: 3D Shape Reconstruction via 2.5D Sketches (6.25 MB) ,
CBMM Funded
“Shape and Material from Sound”, Advances in Neural Information Processing Systems 30. Long Beach, CA, pp. 1278–1288, 2017. ,
CBMM Funded
“A fast, invariant representation for human action in the visual system.”, J Neurophysiol, p. jn.00642.2017, 2017. Author's last draft (695.63 KB) ,
CBMM Funded
“Fisher-Rao Metric, Geometry, and Complexity of Neural Networks”, 2017. 1711.01530.pdf (966.99 KB) ,
CBMM Related
“Ten-month-old infants infer the value of goals from the costs of actions”, Science, vol. 358, pp. 1038-1041, 2017. ivc_full_preprint_withsm.pdf (1.6 MB) ,
CBMM Funded
“Differences in dynamic and static coding within different subdivision of the prefrontal cortex”, Society for Neuroscience's Annual Meeting - SfN 2017. Washington, DC, 2017. ,
CBMM Funded
CBMM Funded
CBMM Memo No.
080
“Multi-stage Multi-recursive-input Fully Convolutional Networks for Neuronal Boundary Detection”. 2017. CBMM-Memo-080.pdf (2.51 MB) ,
CBMM Funded
CBMM Memo No.
070
“Object-Oriented Deep Learning”. 2017. CBMM-Memo-070.pdf (963.54 KB) ,
CBMM Funded
“Eye-Tracking Causality”, Psychological Science, vol. 73, 2017. ,
CBMM Funded