ArticleCerebral cortex (New York, N.Y. : 1991)2019
Objective Morphological Classification of Neocortical Pyramidal Cells.
Article in Cerebral cortex (New York, N.Y. : 1991), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers.
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42 citing papers in PubMed.
- Temporal Topology Provides an Interpretable Framework for Neuronal Morphogenesis.Neuroinformatics · 2026Article
- A multimodal spatial atlas of transcriptomic, morphological, and electrophysiological cell type densities in the mouse brain.PLoS computational biology · 2026Article
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- Decoding gray matter, large-scale analysis of brain cell morphometry to inform microstructural modeling of diffusion MR signals.Communications biology · 2026Article
- Battery-Free Dual-Channel Wireless Neurostimulator Using Passive Circuitry for Neuropathic Pain Modulation.Advanced healthcare materials · 2025Article
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- Generating brain-wide connectome using synthetic axonal morphologies.Nature communications · 2025Article
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- Topological Neuroscience: Linking Circuits to Function.Annual review of neuroscience · 2025Review
- An unsupervised map of excitatory neuron dendritic morphology in the mouse visual cortex.Nature communications · 2025Article
- Integrating multimodal data to understand cortical circuit architecture and function.Nature neuroscience · 2025Review
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- The fiber of persistent homology for trees.Journal of applied and computational topology · 2025Article
- Community-based reconstruction and simulation of a full-scale model of the rat hippocampus CA1 region.PLoS biology · 2024Article
- Synthesis of geometrically realistic and watertight neuronal ultrastructure manifolds for in silico modeling.Briefings in bioinformatics · 2024Article
- Cortical cell assemblies and their underlying connectivity: An in silico study.PLoS computational biology · 2024Article
- Cell-type-specific inhibitory circuitry from a connectomic census of mouse visual cortex.bioRxiv : the preprint server for biology · 2024Article
- Multi-level feature fusion network for neuronal morphology classification.Frontiers in neuroscience · 2024Article
- Discovering optimal features for neuron-type identification from extracellular recordings.Frontiers in neuroinformatics · 2024Article
- Controlling morpho-electrophysiological variability of neurons with detailed biophysical models.iScience · 2023Article
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Authors and funding
10 authors.
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No grant is acknowledged in the PubMed record.
Abstract
A consensus on the number of morphologically different types of pyramidal cells (PCs) in the neocortex has not yet been reached, despite over a century of anatomical studies, due to the lack of agreement on the subjective classifications of neuron types, which is based on expert analyses of neuronal morphologies. Even for neurons that are visually distinguishable, there is no common ground to consistently define morphological types. The objective classification of PCs can be achieved with methods from algebraic topology, and the dendritic arborization is sufficient for the reliable identification of distinct types of cortical PCs. Therefore, we objectively identify 17 types of PCs in the rat somatosensory cortex. In addition, we provide a solution to the challenging problem of whether 2 similar neurons belong to different types or to a continuum of the same type. Our topological classification does not require expert input, is stable, and helps settle the long-standing debate on whether cell-types are discrete or continuous morphological variations of each other.
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