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מיון קוצים×eLORETA×
תחוםהדמיה עצביתהדמיה עצבית
משפחהProcess / pipelineProcess / pipeline
שנת המקור20002002
הוגה השיטהKenneth HarrisRoberto D. Pascual-Marqui
סוגNeuronal activity classification pipelineEEG/MEG source localization algorithm
מקור מכונןHarris, 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 ↗
כינוייםunit isolation, single-unit recording, electrophysiology clusteringExact LORETA, eLORETA source reconstruction
קשורות32
תקצירSpike 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.
ScholarGateמערך נתונים
  1. v1
  2. 2 מקורות
  3. PUBLISHED
  1. v1
  2. 2 מקורות
  3. PUBLISHED

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ScholarGateהשוואת שיטות: Spike Sorting · eLORETA. אוחזר בתאריך 2026-06-17 מתוך https://scholargate.app/he/compare