L1-norm vs. L2-norm fitting in optimizing focal multi-channel tES stimulation: linear and semidefinite programming vs. weighted least squares

•Comparative results using L1-norm regularized L1-norm fitting (L1L1) against L1-norm regularized L2-norm fitting (L1L2) and Tikhonov’s regularized least-squares (TLS) methods for the calculations.•Examination of state-of-the-art 8 and 20 active electrode channel montage for Multi-Channel Transcrani...

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Veröffentlicht in:	Computer methods and programs in biomedicine Jg. 226; S. 107084
Hauptverfasser:	Galaz Prieto, Fernando, Rezaei, Atena, Samavaki, Maryam, Pursiainen, Sampsa
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	Elsevier B.V 01.11.2022
Schlagworte:	Least squares Linear programming Metaheuristics Non-Invasive brain stimulation Semidefinite programming Transcranial electrical stimulation (tES) Linear programming Semidefinite programming Transcranial electrical stimulation (tES) Metaheuristics Non-Invasive brain stimulation Least squares
ISSN:	0169-2607, 1872-7565, 1872-7565
Online-Zugang:	Volltext
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