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A diffusion tensor-based computational model for transcranial magnetic stimulation : from macroscopic fields to neuronal membrane potentials

Nele De Geeter (UGent)
(2015)
Author
Promoter
(UGent) and (UGent)
Organization
Keywords
transcranial magnetic stimulation (TMS), bio-electromagnetism, diffusion tensor imaging (DTI), induced electric field, transmembrane potential

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Citation

Please use this url to cite or link to this publication:

Chicago
De Geeter, Nele. 2015. “A Diffusion Tensor-based Computational Model for Transcranial Magnetic Stimulation : from Macroscopic Fields to Neuronal Membrane Potentials”. Ghent, Belgium: Ghent University. Faculty of Engineering and Architecture.
APA
De Geeter, N. (2015). A diffusion tensor-based computational model for transcranial magnetic stimulation : from macroscopic fields to neuronal membrane potentials. Ghent University. Faculty of Engineering and Architecture, Ghent, Belgium.
Vancouver
1.
De Geeter N. A diffusion tensor-based computational model for transcranial magnetic stimulation : from macroscopic fields to neuronal membrane potentials. [Ghent, Belgium]: Ghent University. Faculty of Engineering and Architecture; 2015.
MLA
De Geeter, Nele. “A Diffusion Tensor-based Computational Model for Transcranial Magnetic Stimulation : from Macroscopic Fields to Neuronal Membrane Potentials.” 2015 : n. pag. Print.
@phdthesis{6836004,
  author       = {De Geeter, Nele},
  isbn         = {9789085788126},
  language     = {eng},
  pages        = {XXXI, 216},
  publisher    = {Ghent University. Faculty of Engineering and Architecture},
  school       = {Ghent University},
  title        = {A diffusion tensor-based computational model for transcranial magnetic stimulation : from macroscopic fields to neuronal membrane potentials},
  year         = {2015},
}