手法を比較

	スパイクソーティング	eLORETA
分野	神経画像学	神経画像学
系統	Process / pipeline	Process / pipeline
提唱年	2000	2002
提唱者	Kenneth Harris	Roberto D. Pascual-Marqui
種類	Neuronal activity classification pipeline	EEG/MEG source localization algorithm
原典	Harris, K. D., Csicsvari, J., Hirase, H., et al. (2016). Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular recordings. Journal of Neurophysiology, 84(1), 401–414.	Pascual-Marqui, R. D. (2002). Standardized low-resolution brain electromagnetic tomography (sLORETA): technical details. Methods & Findings in Experimental & Clinical Pharmacology, 24(S-D), 5–12.
別名	unit isolation, single-unit recording, electrophysiology clustering	Exact LORETA, eLORETA source reconstruction
関連	3	2
概要	Spike sorting is an electrophysiological technique for identifying and isolating action potentials of individual neurons from extracellular electrical recordings. Central to single-unit neurophysiology, spike sorting assigns spikes recorded on electrode arrays to their neuron of origin, enabling study of individual neuron firing patterns, timing, and network interactions with single-cell resolution.	Exact Low-Resolution Electromagnetic Tomography (eLORETA) is a non-parametric solution to the inverse problem in EEG and MEG source localization. Developed by Roberto D. Pascual-Marqui in 2002, eLORETA reconstructs three-dimensional maps of electrical brain activity from scalp electrode recordings, offering zero localization error under ideal noise-free conditions.