Chi-Tat Law

University of Pennsylvania, Philadelphia, PA, United States 
Visual system, Decision making
"Chi-Tat Law"
Mean distance: 14.56 (cluster 17)


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James C. Saunders research assistant 2002-2002 Penn
 (Summer research assistant)
Joshua Gold grad student 2003-2009 Penn
 (Mechanisms of learning a visual motion discrimination task.)
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Wu F, Saha A, Chaudhuri S, et al. (2015) Propagation speeds of expanding turbulent flames of C4 to C8 n-alkanes at elevated pressures: Experimental determination, fuel similarity, and stretch-affected local extinction Proceedings of the Combustion Institute. 35: 1501-1508
Li X, You X, Wu F, et al. (2015) Uncertainty analysis of the kinetic model prediction for high-pressure H2/CO combustion Proceedings of the Combustion Institute. 35: 617-624
Xin YX, Yoo CS, Chen JH, et al. (2015) A DNS study of self-accelerating cylindrical hydrogen-air flames with detailed chemistry Proceedings of the Combustion Institute. 35: 753-760
Zhao P, Yuan W, Sun H, et al. (2015) Laminar flame speeds, counterflow ignition, and kinetic modeling of the butene isomers Proceedings of the Combustion Institute. 35: 309-316
Wu F, Liang W, Chen Z, et al. (2015) Uncertainty in stretch extrapolation of laminar flame speed from expanding spherical flames Proceedings of the Combustion Institute. 35: 663-670
Ren Y, Zhang Y, Li S, et al. (2015) Doping mechanism of Vanadia/Titania nanoparticles in flame synthesis by a novel optical spectroscopy technique Proceedings of the Combustion Institute. 35: 2283-2289
Gruber A, Kerstein AR, Valiev D, et al. (2014) Modeling of mean flame shape during premixed flame flashback in turbulent boundary layers Proceedings of the Combustion Institute
Law CT, Gold JI. (2010) Shared mechanisms of perceptual learning and decision making. Topics in Cognitive Science. 2: 226-38
Gold JI, Law CT, Connolly P, et al. (2010) Relationships between the threshold and slope of psychometric and neurometric functions during perceptual learning: implications for neuronal pooling. Journal of Neurophysiology. 103: 140-54
Law CT, Gold JI. (2009) Reinforcement learning can account for associative and perceptual learning on a visual-decision task. Nature Neuroscience. 12: 655-63
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