A model of electrophysiological heterogeneity in periglomerular cells
Olfactory bulb 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 proper...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2013-04-01
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| Series: | Frontiers in Computational Neuroscience |
| Subjects: | |
| Online Access: | http://journal.frontiersin.org/Journal/10.3389/fncom.2013.00049/full |
| _version_ | 1818721137759092736 |
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| author | Praveen eSethupathy Praveen eSethupathy Daniel B. Rubin Daniel B. Rubin Guoshi eLi Thomas A. Cleland |
| author_facet | Praveen eSethupathy Praveen eSethupathy Daniel B. Rubin Daniel B. Rubin Guoshi eLi Thomas A. Cleland |
| author_sort | Praveen eSethupathy |
| collection | DOAJ |
| description | Olfactory bulb 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 olfactory bulb 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. |
| first_indexed | 2024-12-17T20:33:57Z |
| format | Article |
| id | doaj.art-8869ae2b2b91463da312b47b2f04fcfe |
| institution | Directory Open Access Journal |
| issn | 1662-5188 |
| language | English |
| last_indexed | 2024-12-17T20:33:57Z |
| publishDate | 2013-04-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Computational Neuroscience |
| spelling | doaj.art-8869ae2b2b91463da312b47b2f04fcfe2022-12-21T21:33:30ZengFrontiers Media S.A.Frontiers in Computational Neuroscience1662-51882013-04-01710.3389/fncom.2013.0004943436A model of electrophysiological heterogeneity in periglomerular cellsPraveen eSethupathy0Praveen eSethupathy1Daniel B. Rubin2Daniel B. Rubin3Guoshi eLi4Thomas A. Cleland5Cornell UniversityUniversity of North CarolinaCornell UniversityColumbia UniversityCornell UniversityCornell UniversityOlfactory bulb 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 olfactory bulb 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.http://journal.frontiersin.org/Journal/10.3389/fncom.2013.00049/fullAcetylcholineOlfactory Bulbcomputational modelglomerulusNEURON simulatorjuxtaglomerular neurons |
| spellingShingle | Praveen eSethupathy Praveen eSethupathy Daniel B. Rubin Daniel B. Rubin Guoshi eLi Thomas A. Cleland A model of electrophysiological heterogeneity in periglomerular cells Frontiers in Computational Neuroscience Acetylcholine Olfactory Bulb computational model glomerulus NEURON simulator juxtaglomerular neurons |
| title | A model of electrophysiological heterogeneity in periglomerular cells |
| title_full | A model of electrophysiological heterogeneity in periglomerular cells |
| title_fullStr | A model of electrophysiological heterogeneity in periglomerular cells |
| title_full_unstemmed | A model of electrophysiological heterogeneity in periglomerular cells |
| title_short | A model of electrophysiological heterogeneity in periglomerular cells |
| title_sort | model of electrophysiological heterogeneity in periglomerular cells |
| topic | Acetylcholine Olfactory Bulb computational model glomerulus NEURON simulator juxtaglomerular neurons |
| url | http://journal.frontiersin.org/Journal/10.3389/fncom.2013.00049/full |
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