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Large-scale analysis of brain-wide electrophysiological diversity reveals novel characterization of mammalian neuron types

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Hierarchical clustering of diverse neuron types on the basis of electrophysiological similarity. Electrophysiological parameters are obtained from the NeuroElectro database via literature-mining and are normalized to account for variability in experimental methodologies across studies.
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Figure 1: Hierarchical clustering of diverse neuron types on the basis of electrophysiological similarity. Electrophysiological parameters are obtained from the NeuroElectro database via literature-mining and are normalized to account for variability in experimental methodologies across studies.

Mentions: Here, we present NeuroElectro, a public database where physiological properties for the majority of mammalian neuron types have been compiled through semi-automated literature text-mining and expert curation. The corresponding web application, at http://www.neuroelectro.org, provides a rich dynamic interface for visualizing and comparing physiological information across neuron types; conveniently linking extracted data back to its primary reference. Mining the database content after normalization for methodological differences, we show that there exist but 5-9 major neuron classes in terms of electrophysiological properties, which separate largely based on cell size and basal levels of excitability (Figure 1).


Large-scale analysis of brain-wide electrophysiological diversity reveals novel characterization of mammalian neuron types
Hierarchical clustering of diverse neuron types on the basis of electrophysiological similarity. Electrophysiological parameters are obtained from the NeuroElectro database via literature-mining and are normalized to account for variability in experimental methodologies across studies.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4697490&req=5

Figure 1: Hierarchical clustering of diverse neuron types on the basis of electrophysiological similarity. Electrophysiological parameters are obtained from the NeuroElectro database via literature-mining and are normalized to account for variability in experimental methodologies across studies.
Mentions: Here, we present NeuroElectro, a public database where physiological properties for the majority of mammalian neuron types have been compiled through semi-automated literature text-mining and expert curation. The corresponding web application, at http://www.neuroelectro.org, provides a rich dynamic interface for visualizing and comparing physiological information across neuron types; conveniently linking extracted data back to its primary reference. Mining the database content after normalization for methodological differences, we show that there exist but 5-9 major neuron classes in terms of electrophysiological properties, which separate largely based on cell size and basal levels of excitability (Figure 1).

View Article: PubMed Central - HTML

No MeSH data available.