{"user_id":"ea97e931-d5af-11eb-85d4-e6957dddbf17","article_processing_charge":"No","publisher":"American Physiological Society","day":"01","pmid":1,"_id":"3548","publication_status":"published","publication":"Journal of Neurophysiology","language":[{"iso":"eng"}],"date_created":"2018-12-11T12:03:54Z","volume":84,"abstract":[{"lang":"eng","text":"Simultaneous recording from large numbers of neurons is a prerequisite for understanding their cooperative behavior. Various recording techniques and spike separation methods are being used toward this goal. However, the error rates involved in spike separation have not yet been quantified. We studied the separation reliability of “tetrode” (4-wire electrode) recorded spikes by monitoring simultaneously from the same cell intracellularly with a glass pipette and extracellularly with a tetrode. With manual spike sorting, we found a trade-off between Type I and Type II errors, with errors typically ranging from 0 to 30% depending on the amplitude and firing pattern of the cell, the similarity of the waveshapes of neighboring neurons, and the experience of the operator. Performance using only a single wire was markedly lower, indicating the advantages of multiple-site monitoring techniques over single-wire recordings. For tetrode recordings, error rates were increased by burst activity and during periods of cellular synchrony. The lowest possible separation error rates were estimated by a search for the best ellipsoidal cluster shape. Human operator performance was significantly below the estimated optimum. Investigation of error distributions indicated that suboptimal performance was caused by inability of the operators to mark cluster boundaries accurately in a high-dimensional feature space. We therefore hypothesized that automatic spike-sorting algorithms have the potential to significantly lower error rates. Implementation of a semi-automatic classification system confirms this suggestion, reducing errors close to the estimated optimum, in the range 0-8%."}],"month":"07","year":"2000","publication_identifier":{"issn":["0022-3077"]},"quality_controlled":"1","title":"Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular measurements","intvolume":" 84","extern":"1","date_published":"2000-07-01T00:00:00Z","citation":{"apa":"Harris, K., Henze, D., Csicsvari, J. L., Hirase, H., & Buzsáki, G. (2000). Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular measurements. Journal of Neurophysiology. American Physiological Society. https://doi.org/10.1152/jn.2000.84.1.401","ista":"Harris K, Henze D, Csicsvari JL, Hirase H, Buzsáki G. 2000. Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular measurements. Journal of Neurophysiology. 84(1), 401–414.","chicago":"Harris, Kenneth, Darrell Henze, Jozsef L Csicsvari, Hajima Hirase, and György Buzsáki. “Accuracy of Tetrode Spike Separation as Determined by Simultaneous Intracellular and Extracellular Measurements.” Journal of Neurophysiology. American Physiological Society, 2000. https://doi.org/10.1152/jn.2000.84.1.401.","ama":"Harris K, Henze D, Csicsvari JL, Hirase H, Buzsáki G. Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular measurements. Journal of Neurophysiology. 2000;84(1):401-414. doi:10.1152/jn.2000.84.1.401","ieee":"K. Harris, D. Henze, J. L. Csicsvari, H. Hirase, and G. Buzsáki, “Accuracy of tetrode spike separation as determined by simultaneous intracellular and extracellular measurements,” Journal of Neurophysiology, vol. 84, no. 1. American Physiological Society, pp. 401–414, 2000.","short":"K. Harris, D. Henze, J.L. Csicsvari, H. Hirase, G. Buzsáki, Journal of Neurophysiology 84 (2000) 401–414.","mla":"Harris, Kenneth, et al. “Accuracy of Tetrode Spike Separation as Determined by Simultaneous Intracellular and Extracellular Measurements.” Journal of Neurophysiology, vol. 84, no. 1, American Physiological Society, 2000, pp. 401–14, doi:10.1152/jn.2000.84.1.401."},"page":"401 - 414","doi":"10.1152/jn.2000.84.1.401","article_type":"original","type":"journal_article","issue":"1","acknowledgement":"The costs of publication of this article were defrayed in part by the payment of page charges. The article must therefore be hereby marked ‘‘advertisement’ ’in accordance with 18 U.S.C. Section 1734 solely to indicate this fact. We thank R. Bruno for performing cluster analysis and drawing our attention to the AutoClass program, M. Recce and P. Mitra for suggestions withdata analysis and comments on the manuscript, C. King, G. Dragoi, and X.Leinekugel for performing cluster analysis, and J. Hetke and K. Wise for supplying silicon probes. The data used in this paper are available on request by e-mail to G. Buzsaki. This work was supported by National Institutes of Health Grants NS-34994,413 MH-54671, and MH-12403 (to D. A. Henze) and by the Epilepsy Foundationof America (to D. A. Henze).","status":"public","external_id":{"pmid":["10899214 "]},"author":[{"first_name":"Kenneth","last_name":"Harris","full_name":"Harris, Kenneth"},{"last_name":"Henze","first_name":"Darrell","full_name":"Henze, Darrell"},{"id":"3FA14672-F248-11E8-B48F-1D18A9856A87","full_name":"Csicsvari, Jozsef L","last_name":"Csicsvari","first_name":"Jozsef L","orcid":"0000-0002-5193-4036"},{"full_name":"Hirase, Hajima","first_name":"Hajima","last_name":"Hirase"},{"full_name":"Buzsáki, György","last_name":"Buzsáki","first_name":"György"}],"oa_version":"None","date_updated":"2023-05-02T14:16:45Z","publist_id":"2837"}