ArticleFrontiers in computational neuroscience2013
A model of electrophysiological heterogeneity in periglomerular cells.
Article in Frontiers in computational neuroscience, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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Who cites it
7 citing papers in PubMed.
- A Systematic Framework for Olfactory Bulb Signal Transformations.Frontiers in computational neuroscience · 2020Article
- Quantitative Association of Anatomical and Functional Classes of Olfactory Bulb Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2018Article
- Generative Biophysical Modeling of Dynamical Networks in the Olfactory System.Methods in molecular biology (Clifton, N.J.) · 2018Article
- A coupled-oscillator model of olfactory bulb gamma oscillations.PLoS computational biology · 2017Article
- Inhibitory circuits of the mammalian main olfactory bulb.Journal of neurophysiology · 2017Review
- Bulbar microcircuit model predicts connectivity and roles of interneurons in odor coding.PloS one · 2015Article
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4 authors.
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Abstract
Olfactory bulb (OB) periglomerular (PG) cells are heterogeneous with respect to several features, including morphology, connectivity, patterns of protein expression, and electrophysiological properties. However, these features rarely correlate with one another, suggesting that the differentiating properties of PG cells may arise from multiple independent adaptive variables rather than representing discrete cell classes. We use computational modeling to assess this hypothesis with respect to electrophysiological properties. Specifically, we show that the heterogeneous electrophysiological properties demonstrated in PG cell recordings can be explained solely by differences in the relative expression levels of ion channel species in the cell, without recourse to modifying channel kinetic properties themselves. This PG cell model can therefore be used as the basis for diverse cellular and network-level analyses of OB computations. Moreover, this simple basis for heterogeneity contributes to an emerging hypothesis that glomerular-layer interneurons may be better described as a single population expressing distributions of partially independent, potentially plastic properties, rather than as a set of discrete cell classes.
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