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Local Linearization-Runge Kutta (LLRK) Methods for Solving Ordinary Differential Equations., , , , and . International Conference on Computational Science (1), volume 3991 of Lecture Notes in Computer Science, page 132-139. Springer, (2006)A higher order local linearization method for solving ordinary differential equations., , , , and . Appl. Math. Comput., 185 (1): 197-212 (2007)Quantification of the impact of a confounding variable on functional connectivity confirms anti-correlated networks in the resting-state., , and . NeuroImage, (2014)The geometry of time-varying cross-correlation random fields., , , and . Comput. Stat. Data Anal., 53 (9): 3291-3304 (2009)Partial Correlation-Based Retinotopically Organized Resting-State Functional Connectivity Within and Between Areas of the Visual Cortex Reflects More Than Cortical Distance., , , , , and . Brain Connect., 6 (1): 57-75 (2016)Multiple Shooting-Local Linearization method for the identification of dynamical systems., , and . Commun. Nonlinear Sci. Numer. Simul., (2016)Positional and surface area asymmetry of the human cerebral cortex., , , , , , and . NeuroImage, 46 (4): 895-903 (2009)Random Field-Union Intersection tests for EEG/MEG imaging., , , , , , , and . NeuroImage, 22 (1): 268-276 (2004)A numerical method for the computation of the Lyapunov exponents of nonlinear ordinary differential equations., , and . Appl. Math. Comput., 131 (1): 21-37 (2002)Realistically Coupled Neural Mass Models Can Generate EEG Rhythms., , , , and . Neural Comput., 19 (2): 478-512 (2007)