Kevin K. Lin
Kevin K. Lin
Professor of Mathematics, University of Arizona
Verified email at - Homepage
Cited by
Cited by
The Selberg zeta function for convex co-compact Schottky groups
L Guillopé, KK Lin, M Zworski
Communications in mathematical physics 245 (1), 149-176, 2004
Phase-amplitude descriptions of neural oscillator models
KCA Wedgwood, KK Lin, R Thul, S Coombes
The Journal of Mathematical Neuroscience 3 (1), 1-22, 2013
Data-based stochastic model reduction for the Kuramoto–Sivashinsky equation
F Lu, KK Lin, AJ Chorin
Physica D: Nonlinear Phenomena 340, 46-57, 2017
Data-driven model reduction, Wiener projections, and the Koopman-Mori-Zwanzig formalism
KK Lin, F Lu
Journal of Computational Physics 424, 109864, 2021
Shear-induced chaos
KK Lin, LS Young
Nonlinearity 21 (5), 899, 2008
Numerical study of quantum resonances in chaotic scattering
KK Lin
Journal of Computational Physics 176 (2), 295-329, 2002
Reliability of coupled oscillators
KK Lin, E Shea-Brown, LS Young
Journal of nonlinear science 19 (5), 497-545, 2009
Chaos and reliability in balanced spiking networks with temporal drive
G Lajoie, KK Lin, E Shea-Brown
Physical Review E 87 (5), 052901, 2013
Quantum resonances in chaotic scattering
KK Lin, M Zworski
Chemical physics letters 355 (1-2), 201-205, 2002
Spatial scale and place field stability in a grid‐to‐place cell model of the dorsoventral axis of the hippocampus
D Lyttle, B Gereke, KK Lin, JM Fellous
Hippocampus 23 (8), 729-744, 2013
Modeling temporal networks using random itineraries
A Barrat, B Fernandez, KK Lin, LS Young
Physical review letters 110 (15), 158702, 2013
Comparison of continuous and discrete-time data-based modeling for hypoelliptic systems
F Lu, K Lin, A Chorin
Communications in Applied Mathematics and Computational Science 11 (2), 187-216, 2016
Entrainment and chaos in a pulse-driven hodgkin--huxley oscillator
KK Lin
SIAM Journal on Applied Dynamical Systems 5 (2), 179-204, 2006
Comparison of continuous and discrete data-driven predictive models for hypoelliptic systems of stochastic differential equations
F Lu, KK Lin, AJ Chorin
Coupling control variates for Markov chain Monte Carlo
JB Goodman, KK Lin
Journal of Computational Physics 228 (19), 7127-7136, 2009
Limitations of perturbative techniques in the analysis of rhythms and oscillations
KK Lin, KCA Wedgwood, S Coombes, LS Young
Journal of mathematical biology 66 (1), 139-161, 2013
Spike-time reliability of layered neural oscillator networks
KK Lin, E Shea-Brown, LS Young
Journal of computational neuroscience 27 (1), 135-160, 2009
Conjunctive reward–place coding properties of dorsal distal CA1 hippocampus cells
Z Xiao, K Lin, JM Fellous
Biological cybernetics 114 (2), 285-301, 2020
Encoding in balanced networks: Revisiting spike patterns and chaos in stimulus-driven systems
G Lajoie, KK Lin, JP Thivierge, E Shea-Brown
PLoS computational biology 12 (12), e1005258, 2016
Small‐Noise Analysis and Symmetrization of Implicit Monte Carlo Samplers
J Goodman, KK Lin, M Morzfeld
Communications on Pure and Applied Mathematics 69 (10), 1924-1951, 2016
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