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स्पाइक सॉर्टिंग×ईएलओआरईटीए (eLORETA)×
क्षेत्रतंत्रिका प्रतिबिंबनतंत्रिका प्रतिबिंबन
परिवारProcess / pipelineProcess / pipeline
उद्भव वर्ष20002002
प्रवर्तकKenneth HarrisRoberto D. Pascual-Marqui
प्रकारNeuronal activity classification pipelineEEG/MEG source localization algorithm
मौलिक स्रोतHarris, 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 ↗
उपनामunit isolation, single-unit recording, electrophysiology clusteringExact LORETA, eLORETA source reconstruction
संबंधित32
सारांशSpike 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.
ScholarGateडेटासेट
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  2. 2 स्रोत
  3. PUBLISHED
  1. v1
  2. 2 स्रोत
  3. PUBLISHED

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ScholarGateविधियों की तुलना करें: Spike Sorting · eLORETA. 2026-06-17 को यहाँ से प्राप्त https://scholargate.app/hi/compare