KongFatt Wong-Lin

Post-doctoral Research Associate

The Program in Applied and Computational Mathematics
Princeton Neuroscience Institute
Princeton University
Princeton, New Jersey 08544-1000

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


Education and Training

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

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

Post-doctoral training.
The Program in Applied and Computational Mathematics, Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey, USA.


Research interests

General research area: Computational modeling and mathematical analysis in systems and cognitive neuroscience.

Specific research area: Perceptual decision making in animals and humans, and the underlying neural mechanisms. This involves sensorimotor processes which can be influenced by stimulus or performance history, reward and learning, neuromodulation, "top-down" cognitive controls, etc.

Click here for more information


Publications

[Publications on PubMed]

Previously published under K.-F. Wong
*Equal contribution from authors
Corresponding author

Dimension reduction and dynamics of a spiking neural network model for decision making under neuromodulation. P. Eckhoff, K.F. Wong-Lin and P. Holmes [In review]

Closed-form approximations of first-passage distributions for a stochastic decision making model, Applied Mathematics Research eXpress, (2010) 2009:123-141. T. Broderick, K.F. Wong-Lin and P. Holmes
pdf

Optimal performance in a countermanding saccade task, Brain Research, 1318: 178-187 (2010). K.F. Wong-Lin, P. Eckhoff, P. Holmes and J.D. Cohen
pdf

The physics of decision making: Stochastic differential equations as models for neural dynamics and evidence accumulation in cortical circuits, Plenary lecture at the XVIth International Congress on Mathematical Physics, Prague, Czech Republic, Aug 3-8, 2009; pp 123-142 in Proceedings volume, ed. P. Exner, World Scientific, 2010. P. Holmes, P. Eckhoff, K.F. Wong-Lin, R. Bogacz, M. Zackenhouse and J.D. Cohen

Sequential effects in two-choice reaction time tasks: Decomposition and synthesis of mechanisms, Neural Computation, 21(9): 2407-2436 (2009). J. Gao, K.F. Wong-Lin, P. Holmes, P. Simen and J.D. Cohen
pdf, supplementary

Optimality and robustness of a biophysical decision-making model under norepinephrine modulation, Journal of Neuroscience, 29: 4301-4311 (2009). P. Eckhoff, K.F. Wong-Lin and P. Holmes
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 (2009). X. Zhou*, K.F. Wong-Lin* and P. Holmes
pdf
e-Print Archive: arXiv: 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 (2008). K.-F. Wong and A.C. Huk
pdf

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

A recurrent network mechanism of time integration in perceptual decisions, Journal of Neuroscience, 26: 1314-1328 (2006). K.-F. Wong and X.-J. Wang
pdf, supplementary

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


Manuscripts in preparation

Time-varying gain modulation on decision-making dynamics and performance: Analysis of a biological network model. R. Niyogi and K.F. Wong-Lin

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


Selected conference abstracts and presentations

Flexible and optimal perceptual decisions with time-varying gain modulation, Department of Systems Science, Beijing Normal University, Beijing, China (Apr 28, 2010) [Invited talk]

Neural circuit dynamics of perceptual decision making: External perturbation and internal modulation, Department of Electrical and Computer Engineering, National University of Singapore, Singapore (Mar 18, 2010) [Invited talk]

Time-varying gain modulation on neural circuit dynamics and performance in perceptual decisions, R.K. Niyogi and K.F. Wong-Lin, Abstract # 246, Computational and Systems Neuroscience (CoSyNe) 2010, Salt Lake City, UT, USA (Feb 25 - Feb 28, 2010)

Contributions of time-varying gain modulation in perceptual decision making, Dynamical Systems and Nonlinear Science Seminar, Princeton University, Princeton, NJ, USA (Dec 11, 2009) [Talk]

Optimal control of countermanding saccadic eye movements, K.F. Wong-Lin, P. Eckhoff, P. Holmes and J.D. Cohen, 4th Computational Cognitive Neuroscience Conference, Boston, MA, USA (Nov 18-19, 2009)

Sequential effects in biased perceptual choice tasks, S. Goldfarb, K.F. Wong-Lin, N. Leonard and P. Holmes, 4th Computational Cognitive Neuroscience Conference, Boston, MA, USA (Nov 18-19, 2009)

Are redundant neurons redundant in categorical decision making? A robustness study of a network model, K.F. Wong-Lin, Program # 194.12, Society for Neuroscience meeting, Chicago, IL, USA (Oct 17-21, 2009)

Optimality, robustness and neural dynamics of decision making under norepinephrine modulation: A spiking neuronal network model, 42nd Winter Conference on Brain Research, Copper Mountain, CO, USA (Jan 24-30, 2009) [Invited panel talk]

Perturbing the formation of a decision, Applied Dynamical Systems Seminar, Department of Mathematics, Drexel University, Philadelphia, PA, 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, Washington D.C., USA (Nov 15-19, 2008)

Optimality, robustness and neural dynamics of decision making under norepinephrine modulation: a spiking neuronal network model, Sloan-Swartz Center for Theoretical Neurobiology annual summer meeting, Princeton University, Princeton, NJ, USA (July 19-22, 2008) [Talk]

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, San Diego, CA, USA (Nov 3-7, 2007)

Exploring norepinephrine modulation in a model for decision making, P. Eckhoff, K.-F. Wong and P. Holmes, Program # 645.9, Society for Neuroscience meeting, San Diego, CA, USA (Nov 3-7, 2007)

A model analysis of the mechanisms underlying sequential effects by separation of timescales, J. Gao, K.-F. Wong, P. Holmes and J.D. Cohen, Program # 740.3, Society for Neuroscience meeting, San Diego, CA, USA (Nov 3-7, 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, San Diego, CA, USA (Nov 3-7, 2007)

Time-varying perturbations during perceptual decision-making, Dynamical Systems and Nonlinear Science Seminar, Princeton University, Princeton, NJ, USA (Oct 19, 2007) [Talk]

Time integration in a perceptual decision task: adding and subtracting brief pulses of evidence in a recurrent cortical network model, K.-F. Wong, A.C. Huk, X.-J. Wang and M.N. Shadlen, Program # 621.5, Society for Neuroscience meeting, Washington D.C., USA (Nov 12-16, 2005)

What determines the integration time of a decision microcircuit in the cortex?, K.-F. Wong and X.-J. Wang, Program # 668.15, Society for Neuroscience meeting, San Diego, CA, USA (Oct 23-27, 2004)

Click here for a more complete list of scientific presentations


Teaching

Mathematical Neuroscience (with P. Holmes, E. Fuchs), Princeton University (Spring 2010)

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)