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Třídění spike signálů×eLORETA×
OborNeurozobrazováníNeurozobrazování
RodinaProcess / pipelineProcess / pipeline
Rok vzniku20002002
TvůrceKenneth HarrisRoberto D. Pascual-Marqui
TypNeuronal activity classification pipelineEEG/MEG source localization algorithm
Původní zdrojHarris, 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. link ↗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. link ↗
Další názvyunit isolation, single-unit recording, electrophysiology clusteringExact LORETA, eLORETA source reconstruction
Příbuzné32
ShrnutíSpike 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.
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ScholarGatePorovnat metody: Spike Sorting · eLORETA. Získáno 2026-06-17 z https://scholargate.app/cs/compare