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Yuan Liu (Sophie), PhD
Contact Information
Mailing address:
CNL-T, the Salk Institute for Biological Studies
10010 N. Torrey Pines Rd.
La Jolla, CA,
92037
Phone: (858)453-4100 Ext. 2116
Email: yuanliu AT salk DOT edu
URL: http://www.snl.salk.edu/~yuanliu/
Computational Neurobiology Laboratory
at Salk Institute
Tatyana Sharpee
Terry
Sejnowski
PhD Advisor Committee and Project
Phill Holmes,
Prof. of Applied Math, Chair of MAE Department
William Bialek,
John Archibald Wheeler/Battelle Professor in Physics
Jonathan Cohen,
Professor of Psychology, and Director, Program in Neuroscience
Project 6 -
Computational Modeling and Dynamical Systems Analysis of Conflict and
Control, NIMH Silvio O. Conte Center for Neuroscience Research
Curriculum Vitae (
pdf file)
Education
Princeton University, Ph.D in Physics, Program of Neuroscience, August
2007
California Institute of Technology, Bachelor of Science degree with Honors
(Physics), June 2002
PhD Thesis ( pdf file)
Publications
Y. S. Liu,
C. Stevens, and T. Sharpee, Predictable irregularities in retinal receptive
fields, Proc Natl Acad Sci USA 106(38): 16499-16504, 2009
Y. S. Liu, A. Yu, and
P. Holmes, Dynamical Analysis of a Bayesian Inference Model for the Eriksen
task, Neural Computation 21(6):1520–1553,
2009
Y. S. Liu, P. Holmes
and J.D. Cohen, A neural network model of the Eriksen task: Reduction,
analysis, and data fitting, Neural Computation 20(2):345-373, 2008.
Y. S. Liu, P. Holmes,
and J.D. Cohen, A Bayesian inference model for sequential effects in the
Eriksen task (preprint), 2007
Y. S. Liu, G.A.
Cecchi, A.R. Rao, J. Kozloski and C.C. Peck, Inference and Segmentation in
Cortical Processing, Proc. SPIE Human Vision and Electronic Imaging XI,
vol 6057-23, 2006
Research Interest
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Spatial-temporal receptive field that maximize information
transmission
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Information theoretical model of population coding
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Dynamical system analysis on stochastic differential equations and
Bayesian probabilistic models of neural network
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Data analysis of physiological and behavioral experiments on
neuroscience
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