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Structured Connectivity in Cerebellar Inhibitory Networks
Defining the rules governing synaptic connectivity is key to formulating theories of neural circuit function. Interneurons can be connected by both electrical and chemical synapses, but the organization and interaction of these two complementary microcircuits is unknown. By recording from multiple m...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cell Press
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3988957/ https://www.ncbi.nlm.nih.gov/pubmed/24559679 http://dx.doi.org/10.1016/j.neuron.2013.12.029 |
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author | Rieubland, Sarah Roth, Arnd Häusser, Michael |
author_facet | Rieubland, Sarah Roth, Arnd Häusser, Michael |
author_sort | Rieubland, Sarah |
collection | PubMed |
description | Defining the rules governing synaptic connectivity is key to formulating theories of neural circuit function. Interneurons can be connected by both electrical and chemical synapses, but the organization and interaction of these two complementary microcircuits is unknown. By recording from multiple molecular layer interneurons in the cerebellar cortex, we reveal specific, nonrandom connectivity patterns in both GABAergic chemical and electrical interneuron networks. Both networks contain clustered motifs and show specific overlap between them. Chemical connections exhibit a preference for transitive patterns, such as feedforward triplet motifs. This structured connectivity is supported by a characteristic spatial organization: transitivity of chemical connectivity is directed vertically in the sagittal plane, and electrical synapses appear strictly confined to the sagittal plane. The specific, highly structured connectivity rules suggest that these motifs are essential for the function of the cerebellar network. |
format | Online Article Text |
id | pubmed-3988957 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | Cell Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-39889572014-04-17 Structured Connectivity in Cerebellar Inhibitory Networks Rieubland, Sarah Roth, Arnd Häusser, Michael Neuron Article Defining the rules governing synaptic connectivity is key to formulating theories of neural circuit function. Interneurons can be connected by both electrical and chemical synapses, but the organization and interaction of these two complementary microcircuits is unknown. By recording from multiple molecular layer interneurons in the cerebellar cortex, we reveal specific, nonrandom connectivity patterns in both GABAergic chemical and electrical interneuron networks. Both networks contain clustered motifs and show specific overlap between them. Chemical connections exhibit a preference for transitive patterns, such as feedforward triplet motifs. This structured connectivity is supported by a characteristic spatial organization: transitivity of chemical connectivity is directed vertically in the sagittal plane, and electrical synapses appear strictly confined to the sagittal plane. The specific, highly structured connectivity rules suggest that these motifs are essential for the function of the cerebellar network. Cell Press 2014-02-19 /pmc/articles/PMC3988957/ /pubmed/24559679 http://dx.doi.org/10.1016/j.neuron.2013.12.029 Text en © 2014 The Authors http://creativecommons.org/licenses/by/3.0/ This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/3.0/). |
spellingShingle | Article Rieubland, Sarah Roth, Arnd Häusser, Michael Structured Connectivity in Cerebellar Inhibitory Networks |
title | Structured Connectivity in Cerebellar Inhibitory Networks |
title_full | Structured Connectivity in Cerebellar Inhibitory Networks |
title_fullStr | Structured Connectivity in Cerebellar Inhibitory Networks |
title_full_unstemmed | Structured Connectivity in Cerebellar Inhibitory Networks |
title_short | Structured Connectivity in Cerebellar Inhibitory Networks |
title_sort | structured connectivity in cerebellar inhibitory networks |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3988957/ https://www.ncbi.nlm.nih.gov/pubmed/24559679 http://dx.doi.org/10.1016/j.neuron.2013.12.029 |
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