
Education and Training
B.Sc. (Hon), and M.Sc. in Physics.
supplementary
National University of Singapore, Singapore.
Ph.D. in Physics (Computational Neuroscience).
Brandeis University, Waltham, Massachusetts, USA.
Advisor:
XiaoJing Wang
Postdoctoral training.
The Program in Applied and Computational Mathematics, Princeton Neuroscience Institute, Princeton University, Princeton, New Jersey, USA.
Mentors:
Philip Holmes,
Jonathan D. Cohen
Research interests
General research area: Computational modeling and mathematical analysis in systems and cognitive neuroscience.
Publications
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. WongLin and P. Holmes [In review]
Closedform approximations of firstpassage distributions for a stochastic decision making model, Applied Mathematics Research eXpress, (2010) 2009:123141. T. Broderick, K.F. WongLin and P. Holmes
pdf Optimal performance in a countermanding saccade task, Brain Research, 1318: 178187 (2010). K.F. WongLin^{†}, 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 38, 2009; pp 123142 in Proceedings volume, ed. P. Exner, World Scientific, 2010. P. Holmes, P. Eckhoff, K.F. WongLin, R. Bogacz, M. Zackenhouse and J.D. Cohen
Sequential effects in twochoice reaction time tasks: Decomposition and synthesis of mechanisms, Neural Computation, 21(9): 24072436 (2009). J. Gao, K.F. WongLin, P. Holmes, P. Simen and J.D. Cohen
pdf,
supplementaryOptimality and robustness of a biophysical decisionmaking model under norepinephrine modulation, Journal of Neuroscience, 29: 43014311 (2009). P. Eckhoff, K.F. WongLin and P. Holmes
pdf, Timevarying perturbations can distinguish among integratetothreshold models for perceptual decisionmaking in reaction time tasks, Neural Computation, 21(8): 23362362 (2009). X. Zhou*, K.F. WongLin*^{†} and P. Holmes
pdf
ePrint Archive:
arXiv: 0901.2713 [qbio.NC]
Temporal dynamics underlying perceptual decision making: Insights from the interplay between an attractor model and parietal neurophysiology, Frontiers in Neuroscience, 2:2, 244253 (2008). K.F. Wong^{†} and A.C. Huk^{†}
pdf
Neural circuit dynamics underlying accumulation of timevarying evidence during perceptual decisionmaking, 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: 13141328 (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
ePrint Archive:
arXiv: grqc/0206066v2
Manuscripts in preparation
Timevarying gain modulation on decisionmaking dynamics and performance: Analysis of a biological network model. R. Niyogi and K.F. WongLin^{†}
Performancemonitoring, gating, and learning: A connectionist model of task switching. M.T. Todd, K.F. WongLin and J.D. Cohen
Selected conference abstracts and presentations
Flexible and optimal perceptual decisions with timevarying 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]
Timevarying gain modulation on neural circuit dynamics and performance in perceptual decisions, R.K. Niyogi and K.F. WongLin, Abstract # 246, Computational and Systems Neuroscience (CoSyNe) 2010, Salt Lake City, UT, USA (Feb 25  Feb 28, 2010)
Contributions of timevarying 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. WongLin, P. Eckhoff, P. Holmes and J.D. Cohen, 4th Computational Cognitive Neuroscience Conference, Boston, MA, USA (Nov 1819, 2009)
Sequential effects in biased perceptual choice tasks, S. Goldfarb, K.F. WongLin, N. Leonard and P. Holmes, 4th Computational Cognitive Neuroscience Conference, Boston, MA, USA (Nov 1819, 2009)
Are redundant neurons redundant in categorical decision making? A robustness study of a network model, K.F. WongLin, Program # 194.12, Society for Neuroscience meeting, Chicago, IL, USA (Oct 1721, 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 2430, 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. WongLin and P. Holmes, Program # 590.12, Society for Neuroscience meeting, Washington D.C., USA (Nov 1519, 2008)
Optimality, robustness and neural dynamics of decision making under norepinephrine modulation: a spiking neuronal network model, SloanSwartz Center for Theoretical Neurobiology annual summer meeting, Princeton University, Princeton, NJ, USA (July 1922, 2008) [Talk]
Analysis of a biologically realistic model for saccadecountermanding tasks, K.F. Wong, P. Eckhoff, P. Holmes and J.D. Cohen, Program # 719.3, Society for Neuroscience meeting, San Diego, CA, USA (Nov 37, 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 37, 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 37, 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 37, 2007)
Timevarying perturbations during perceptual decisionmaking, 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 1216, 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 2327, 2004)
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 (20022003)
[Awarded the David L. Falkoff Teaching Fellow Prize for outstanding teaching]
Physics Laboratory, Brandeis University (20012002)
Physics for Premedical and Biology, University of Minnesota, Minneapolis (Summer 20002001)
Introductory Physics for Science and Engineering, University of Minnesota, Minneapolis (20002001)



