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Lemon RN, Baker SN, Kraskov A. Classification of Cortical Neurons by Spike Shape and the Identification of Pyramidal Neurons. Cereb Cortex. 2021;31(11):5131-5138doi: 10.1093/cercor/bhab147.
Lemon, R. N., Baker, S. N., & Kraskov, A. (2021). Classification of Cortical Neurons by Spike Shape and the Identification of Pyramidal Neurons. Cerebral cortex (New York, N.Y. : 1991), 31(11), 5131-5138. https://doi.org/10.1093/cercor/bhab147
Lemon, Roger N, et al. "Classification of Cortical Neurons by Spike Shape and the Identification of Pyramidal Neurons." Cerebral cortex (New York, N.Y. : 1991) vol. 31,11 (2021): 5131-5138. doi: https://doi.org/10.1093/cercor/bhab147
Lemon RN, Baker SN, Kraskov A. Classification of Cortical Neurons by Spike Shape and the Identification of Pyramidal Neurons. Cereb Cortex. 2021 Oct 01;31(11):5131-5138. doi: 10.1093/cercor/bhab147. PMID: 34117760; PMCID: PMC8491674.
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Cereb Cortex. 2021 Oct 01;31(11):5131-5138. doi: 10.1093/cercor/bhab147.

Classification of Cortical Neurons by Spike Shape and the Identification of Pyramidal Neurons.

Cerebral cortex (New York, N.Y. : 1991)

Roger N Lemon, Stuart N Baker, Alexander Kraskov

Affiliations

  1. Department of Clinical and Movement Neurosciences, UCL Queen Square Institute of Neurology, London WC1N 3BG, UK.
  2. Biosciences Institute, Newcastle University, Newcastle upon Tyne NE2 4HH, UK.

PMID: 34117760 PMCID: PMC8491674 DOI: 10.1093/cercor/bhab147

Abstract

Many investigators who make extracellular recordings from populations of cortical neurons are now using spike shape parameters, and particularly spike duration, as a means of classifying different neuronal sub-types. Because of the nature of the experimental approach, particularly that involving nonhuman primates, it is very difficult to validate directly which spike characteristics belong to particular types of pyramidal neurons and interneurons, as defined by modern histological approaches. This commentary looks at the way antidromic identification of pyramidal cells projecting to different targets, and in particular, pyramidal tract neurons (PTN), can inform the utility of spike width classification. Spike duration may provide clues to a diversity of function across the pyramidal cell population, and also highlights important differences that exist across species. Our studies suggest that further electrophysiological and optogenetic approaches are needed to validate spike duration as a means of cell classification and to relate this to well-established histological differences in neocortical cell types.

© The Author(s) 2021. Published by Oxford University Press.

Keywords: antidromic; cell types classification; interneurons; pyramidal; spike shape

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