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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)Rate of convergence of local linearization schemes for initial-value problems., and . Appl. Math. Comput., 171 (2): 1282-1295 (2005)Identification and comparison of stochastic metabolic/hemodynamic models (sMHM) for the generation of the BOLD signal., , , , and . J. Comput. Neurosci., 26 (2): 251-269 (2009)Impact of the resolution of brain parcels on connectome-wide association studies in fMRI., , , , , , , , , and 1 other author(s). NeuroImage, (2015)Multifactorial causal model of brain (dis)organization and therapeutic intervention: Application to Alzheimer's disease., , , , and . NeuroImage, (2017)Global and System-Specific Resting-State fMRI Fluctuations Are Uncorrelated: Principal Component Analysis Reveals Anti-Correlated Networks., , and . Brain Connect., 1 (6): 496-510 (2011)Realistically Coupled Neural Mass Models Can Generate EEG Rhythms., , , , and . Neural Comput., 19 (2): 478-512 (2007)A numerical method for the computation of the Lyapunov exponents of nonlinear ordinary differential equations., , and . Appl. Math. Comput., 131 (1): 21-37 (2002)Local Linearization Method for Numerical Integration of Delay Differential Equations., , , and . SIAM J. Numerical Analysis, 44 (6): 2584-2609 (2006)Quantification of the impact of a confounding variable on functional connectivity confirms anti-correlated networks in the resting-state., , and . NeuroImage, (2014)