KongFatt Wong-Lin

Post-doctoral Research Associate

Program in Applied and Computational Mathematics
and
Center for the Study of Brain, Mind and Behavior
213 Fine Hall
Washington Road
Princeton University
Princeton, New Jersey 08544-1000

Email address: kfwong@math.princeton.edu
Phone: (609)-258-3685, Fax: (609)-258-1735


Education

B.Sc. (Hon), and M.Sc. in Physics, National University of Singapore.

Ph.D. in Physics (Computational Neuroscience), Brandeis University. Advisor: Xiao-Jing Wang


Research interests

I am interested in understanding systems and cognitive neuroscience through theoretical modeling and analysis of models that range from the biophysically realistic to more abstract mathematical models, with emphasis on experiments. Currently, I am studying how animals and humans make simple perceptual decisions and the neural mechanisms responsible for them. These can include selecting an action among competing alternative choices, or even deciding whether or not to make an action. These sensorimotor processes can be influenced not only by external stimuli, but also from factors such as stimulus or performance history, neuromodulation, reward and learning, and other ``top-down'' cognitive controls.

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Publications

Performance-monitoring, gating, and learning: A connectionist model of task switching, M.T. Todd, K.-F. Wong and J.D. Cohen [in preparation]

Optimal control of countermanding saccades, K.F. Wong-Lin, P. Eckhoff, P. Holmes and J.D. Cohen [in preparation]

Closed-form approximations of first-passage distributions for a stochastic decision making model, T. Broderick, K.F. Wong-Lin and P. Holmes [in preparation]

Optimality and robustness of a biophysical decision-making model under norepinephrine modulation, The Journal of Neuroscience, 29: 4301-4311, P. Eckhoff, K.F. Wong-Lin and P. Holmes (2009)
[pdf, supplementary]

Sequential effects in two-choice reaction time tasks: Decomposition and synthesis of mechanisms, Neural Computation (in press), J. Gao, K.F. Wong-Lin, P. Holmes, P. Simen and J.D. Cohen
[pdf, supplementary]

Time-varying perturbations can distinguish among integrate-to-threshold models for perceptual decision-making in reaction time tasks, Neural Computation, 21(8): 2336-2362, X. Zhou*, K.F. Wong-Lin* and P. Holmes
[pdf] arXiv.org:0901.2713 [q-bio.NC]

Temporal dynamics underlying perceptual decision making: Insights from the interplay between an attractor model and parietal neurophysiology, Frontiers in Neuroscience, 2:2, 244-253. doi: 10.3389/neuro.01/028.2008, K.-F. Wong and A.C. Huk (2008)
[online]

Neural circuit dynamics underlying accumulation of time-varying evidence during perceptual decision-making, Frontiers in Computational Neuroscience, 1:6. doi: 10.3389/neuro.10/006.2007, K.-F. Wong, A.C. Huk, M.N. Shadlen and X.-J. Wang (2007)
[online]

A recurrent network mechanism of time integration in perceptual decisions, The Journal of Neuroscience, 26: 1314-1328, K.-F. Wong and X.-J. Wang (2006)
[pdf, supplementary] [appeared in "This Week in the Journal"]

Quantum interest in two dimensions, Physical Review D66: 064007, E. Teo and K.F. Wong (2002)
[pdf] [arXiv:gr-qc/0206066v2]

Previously published under K.-F. Wong
*Denotes equal contribution from authors

[Publications on PubMed]



Selected recent and upcoming presentations

Optimality, robustness and neural dynamics of decision making under norepinephrine modulation: A spiking neuronal network model, 42nd Winter Conference on Brain Research, Copper Mountain, Colorado, USA (Jan, 2009) [Invited panel talk]

Perturbing the formation of a decision, Applied Dynamical Systems Seminar, Department of Mathematics, Drexel University, Philadelphia, Pennsylvannia, USA (Jan 23, 2009) [Invited talk]

Robustness and optimality of decision making under norepinephrine modulation: A biophysical model of the neural substrate, P. Eckhoff, K.F. Wong-Lin and P. Holmes, Program # 590.12, Society for Neuroscience meeting (2008)

Analysis of a biologically realistic model for saccade-countermanding tasks, K.-F. Wong, P. Eckhoff, P. Holmes and J.D. Cohen, Program # 719.3, Society for Neuroscience meeting (2007)

Competition, gating, and learning: A new computational model of task switching, M.T. Todd, K.-F. Wong and J.D. Cohen, Program # 634.10, Society for Neuroscience meeting (2007)


Teaching

Mathematical Neuroscience (with P. Holmes), Princeton University (Fall 2008)

Introductory Physics Laboratory (with lecture), Brandeis University (2002-2003)
[Awarded the David L. Falkoff Teaching Fellow Prize for outstanding teaching]

Physics Laboratory, Brandeis University (2001-2002)

Physics for Pre-medical and Biology, University of Minnesota, Minneapolis (Summer 2000-2001)

Introductory Physics for Science and Engineering, University of Minnesota, Minneapolis (2000-2001)