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Influence of head tissue conductivity anisotropy on human EEG and MEG using fast high resolution finite element modeling, based on a parallel algebraic multigrid solver

MPS-Authors
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Wolters,  Carsten Hermann
MPI of Cognitive Neuroscience (Leipzig, -2003), The Prior Institutes, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Anwander,  Alfred
MPI of Cognitive Neuroscience (Leipzig, -2003), The Prior Institutes, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Koch,  Martin A.
MPI of Cognitive Neuroscience (Leipzig, -2003), The Prior Institutes, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

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Svensen,  M.
MPI of Cognitive Neuroscience (Leipzig, -2003), The Prior Institutes, MPI for Human Cognitive and Brain Sciences, Max Planck Society;

External Resource

http://www.researchgate.net/publication/38139127_Influence_of_head_tissue_conductivity_anisotropy_on_human_EEG_and_MEG_using_fast_high_resolution_finite_element_modeling_based_on_a_parallel_algebraic_multigrid_solver
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Citation

Wolters, C. H., Anwander, A., Koch, M. A., Reitzinger, S., Kuhn, M., & Svensen, M. (2001). Influence of head tissue conductivity anisotropy on human EEG and MEG using fast high resolution finite element modeling, based on a parallel algebraic multigrid solver. In T. Plesser, & V. Macho (Eds.), "Forschung und wissenschaftliches Rechnen" Contributions to the Heinz-Billing Award (pp. 111-157). Gesellschaft für wissenschaftliche Datenverarbeitung mbH Göttingen.


Cite as: https://hdl.handle.net/11858/00-001M-0000-0010-BD08-3
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