ArticleCerebral cortex (New York, N.Y. : 1991)2021
Classification of Cortical Neurons by Spike Shape and the Identification of Pyramidal Neurons.
Article in Cerebral cortex (New York, N.Y. : 1991), 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers.
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Who cites it
25 citing papers in PubMed, 46 citations in OpenAlex.
- Laminar architecture of visual and auditory responses in the supplementary eye field of macaques.Cerebral cortex (New York, N.Y. : 1991) · 2026Article
- Live Spike Sorting of Large-scale Neural Recordings.bioRxiv : the preprint server for biology · 2026Article
- Extracellular Spike Waveforms: Morphology, Biophysics, and Classification Strategies.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2026Review
- Neuropixels reveal laminar microcircuit organization in monkey V1 in vivo.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Customizable Fabrication of 2D and Conformal Multielectrode Arrays for 3D Printed Organotypic Bioelectronic Interfaces.Advanced healthcare materials · 2026Article
- Ultra-high-density Neuropixels probes improve detection and identification in neuronal recordings.Neuron · 2025Article
- Interactions between motor cortical forelimb regions and their influence on muscles reorganize across behaviors.Nature communications · 2025Article
- Stage-dependent cerebrocerebellar communication during sensorimotor processing.Nature communications · 2025Article
- An AI Agent for cell-type specific brain computer interfaces.bioRxiv : the preprint server for biology · 2025Article
- Article
- Functional role of cell classes in monkey prefrontal cortex after learning a working memory task.Communications biology · 2025Article
- Article
- AECuration: automated event curation for spike sorting.Journal of neural engineering · 2025Article
- Circuit dynamics of superficial and deep CA1 pyramidal cells and inhibitory cells in freely-moving macaques.bioRxiv : the preprint server for biology · 2024Article
- A deep-learning strategy to identify cell types across species from high-density extracellular recordings.bioRxiv : the preprint server for biology · 2024Article
- Cell type specializations of the vocal-motor cortex in songbirds.Cell reports · 2023Article
- Toward the Next Generation of Neural Iontronic Interfaces.Advanced healthcare materials · 2023Article
- Article
- Motor cortex analogue neurons in songbirds utilize Kv3 channels to generate ultranarrow spikes.eLife · 2023Article
- The evidence against somatotopic organization of function in the primate corticospinal tract.Brain : a journal of neurology · 2023Review
Corrections and comments
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Authors and funding
3 authors at 2 institutions in 1 country.
Funding
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.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.