ArticleJournal of neurophysiology2015
Brain-wide analysis of electrophysiological diversity yields novel categorization of mammalian neuron types.
Article in Journal of neurophysiology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers, 1 of them a synthesis that pooled it.
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Who cites it
44 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Modeling sources of interlaboratory variability in electrophysiological properties of mammalian neurons.Journal of neurophysiology · 2018Pooled it
- LFP-LOC: an LFP power-based method for validating the anatomical placement of high-density neural probes in rodents.Frontiers in neuroscience · 2026Article
- Engineering human neuronal diversity: Morphogens and stem cell technologies for neurodevelopmental biology.Stem cell reports · 2025Review
- Self-organized and self-sustained ensemble activity patterns in simulation of mouse primary motor cortex.bioRxiv : the preprint server for biology · 2025Article
- Distribution of calbindin-positive neurons across areas and layers of the marmoset cerebral cortex.PLoS computational biology · 2024Article
- Enhanced long-term potentiation in the anterior cingulate cortex of tree shrew.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024Article
- Temporal interference stimulation disrupts spike timing in the primate brain.Nature communications · 2024Article
- Neural heterogeneity controls computations in spiking neural networks.Proceedings of the National Academy of Sciences of the United States of America · 2024Article
- Data-driven multiscale model of macaque auditory thalamocortical circuits reproduces in vivo dynamics.Cell reports · 2023Article
- Neurophysiological signatures of cortical micro-architecture.Nature communications · 2023Article
- Multiscale model of primary motor cortex circuits predicts in vivo cell-type-specific, behavioral state-dependent dynamics.Cell reports · 2023Article
- Neurophysiological signatures of cortical micro-architecture.bioRxiv : the preprint server for biology · 2023Article
- Loss or gain of function? Effects of ion channel mutations on neuronal firing depend on the neuron type.Frontiers in neurology · 2023Article
- Toward reproducible models of sequence learning: replication and analysis of a modular spiking network with reward-based learning.Frontiers in integrative neuroscience · 2023Article
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- A Multi-Scale Computational Model of Levodopa-Induced Toxicity in Parkinson's Disease.Frontiers in neuroscience · 2022Article
- Cell and circuit origins of fast network oscillations in the mammalian main olfactory bulb.eLife · 2021Article
- Neocortical inhibitory interneuron subtypes are differentially attuned to synchrony- and rate-coded information.Communications biology · 2021Article
- Efficient and robust coding in heterogeneous recurrent networks.PLoS computational biology · 2021Article
Corrections and comments
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Authors and funding
5 authors.
Funding
Abstract
For decades, neurophysiologists have characterized the biophysical properties of a rich diversity of neuron types. However, identifying common features and computational roles shared across neuron types is made more difficult by inconsistent conventions for collecting and reporting biophysical data. Here, we leverage NeuroElectro, a literature-based database of electrophysiological properties (www.neuroelectro.org), to better understand neuronal diversity, both within and across neuron types, and the confounding influences of methodological variability. We show that experimental conditions (e.g., electrode types, recording temperatures, or animal age) can explain a substantial degree of the literature-reported biophysical variability observed within a neuron type. Critically, accounting for experimental metadata enables massive cross-study data normalization and reveals that electrophysiological data are far more reproducible across laboratories than previously appreciated. Using this normalized dataset, we find that neuron types throughout the brain cluster by biophysical properties into six to nine superclasses. These classes include intuitive clusters, such as fast-spiking basket cells, as well as previously unrecognized clusters, including a novel class of cortical and olfactory bulb interneurons that exhibit persistent activity at theta-band frequencies.
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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.