Compatibility Evaluation of Clustering Algorithms for Contemporary Extracellular Neural Spike Sorting
Version 3 2024-06-18, 21:25
Version 2 2024-06-06, 05:49
Version 1 2020-06-01, 00:00
journal contribution
posted on 2024-06-18, 21:25 authored by R Veerabhadrappa, M Ul Hassan, James ZhangJames Zhang, Asim BhattiAsim BhattiCompatibility Evaluation of Clustering Algorithms for Contemporary Extracellular Neural Spike Sorting
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SwitzerlandOpen access
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EnglishPublication classification
C1 Refereed article in a scholarly journalJournal
Frontiers in Systems NeuroscienceVolume
14Article number
ARTN 34Pagination
1 - 17ISSN
1662-5137eISSN
1662-5137Publisher
FRONTIERS MEDIA SAUsage metrics
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Keywords
Science & TechnologyLife Sciences & BiomedicineNeurosciencesNeurosciences & Neurologyextracellularmicro-electrode arrayspike sortingclusteringvalidation indicesNEURONAL SIGNALSREAL-TIMERECORDINGSMIXTURECLASSIFICATIONSEPARATIONMICROELECTRODEIDENTIFICATIONPERFORMANCENETWORKS170205 Neurocognitive Patterns and Neural Networks970109 Expanding Knowledge in Engineering110902 Cellular Nervous System080109 Pattern Recognition and Data Mining970110 Expanding Knowledge in Technology3209 Neurosciences
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