Circuit variability interacts with excitatory-inhibitory diversity of interneurons to regulate network encoding capacity

Abstract Local interneurons (LNs) in the Drosophila olfactory system exhibit neuronal diversity and variability, yet it is still unknown how these features impact information encoding capacity and reliability in a complex LN network. We employed two strategies to construct a diverse excitatory-inhib...

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Autores principales: Kuo-Ting Tsai, Chin-Kun Hu, Kuan-Wei Li, Wen-Liang Hwang, Ya-Hui Chou
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Publicado: Nature Portfolio 2018
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Acceso en línea:https://doaj.org/article/33348a78ba9945fb8d8278dfcddebbcb
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spelling oai:doaj.org-article:33348a78ba9945fb8d8278dfcddebbcb2021-12-02T15:08:42ZCircuit variability interacts with excitatory-inhibitory diversity of interneurons to regulate network encoding capacity10.1038/s41598-018-26286-82045-2322https://doaj.org/article/33348a78ba9945fb8d8278dfcddebbcb2018-05-01T00:00:00Zhttps://doi.org/10.1038/s41598-018-26286-8https://doaj.org/toc/2045-2322Abstract Local interneurons (LNs) in the Drosophila olfactory system exhibit neuronal diversity and variability, yet it is still unknown how these features impact information encoding capacity and reliability in a complex LN network. We employed two strategies to construct a diverse excitatory-inhibitory neural network beginning with a ring network structure and then introduced distinct types of inhibitory interneurons and circuit variability to the simulated network. The continuity of activity within the node ensemble (oscillation pattern) was used as a readout to describe the temporal dynamics of network activity. We found that inhibitory interneurons enhance the encoding capacity by protecting the network from extremely short activation periods when the network wiring complexity is very high. In addition, distinct types of interneurons have differential effects on encoding capacity and reliability. Circuit variability may enhance the encoding reliability, with or without compromising encoding capacity. Therefore, we have described how circuit variability of interneurons may interact with excitatory-inhibitory diversity to enhance the encoding capacity and distinguishability of neural networks. In this work, we evaluate the effects of different types and degrees of connection diversity on a ring model, which may simulate interneuron networks in the Drosophila olfactory system or other biological systems.Kuo-Ting TsaiChin-Kun HuKuan-Wei LiWen-Liang HwangYa-Hui ChouNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 8, Iss 1, Pp 1-15 (2018)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Kuo-Ting Tsai
Chin-Kun Hu
Kuan-Wei Li
Wen-Liang Hwang
Ya-Hui Chou
Circuit variability interacts with excitatory-inhibitory diversity of interneurons to regulate network encoding capacity
description Abstract Local interneurons (LNs) in the Drosophila olfactory system exhibit neuronal diversity and variability, yet it is still unknown how these features impact information encoding capacity and reliability in a complex LN network. We employed two strategies to construct a diverse excitatory-inhibitory neural network beginning with a ring network structure and then introduced distinct types of inhibitory interneurons and circuit variability to the simulated network. The continuity of activity within the node ensemble (oscillation pattern) was used as a readout to describe the temporal dynamics of network activity. We found that inhibitory interneurons enhance the encoding capacity by protecting the network from extremely short activation periods when the network wiring complexity is very high. In addition, distinct types of interneurons have differential effects on encoding capacity and reliability. Circuit variability may enhance the encoding reliability, with or without compromising encoding capacity. Therefore, we have described how circuit variability of interneurons may interact with excitatory-inhibitory diversity to enhance the encoding capacity and distinguishability of neural networks. In this work, we evaluate the effects of different types and degrees of connection diversity on a ring model, which may simulate interneuron networks in the Drosophila olfactory system or other biological systems.
format article
author Kuo-Ting Tsai
Chin-Kun Hu
Kuan-Wei Li
Wen-Liang Hwang
Ya-Hui Chou
author_facet Kuo-Ting Tsai
Chin-Kun Hu
Kuan-Wei Li
Wen-Liang Hwang
Ya-Hui Chou
author_sort Kuo-Ting Tsai
title Circuit variability interacts with excitatory-inhibitory diversity of interneurons to regulate network encoding capacity
title_short Circuit variability interacts with excitatory-inhibitory diversity of interneurons to regulate network encoding capacity
title_full Circuit variability interacts with excitatory-inhibitory diversity of interneurons to regulate network encoding capacity
title_fullStr Circuit variability interacts with excitatory-inhibitory diversity of interneurons to regulate network encoding capacity
title_full_unstemmed Circuit variability interacts with excitatory-inhibitory diversity of interneurons to regulate network encoding capacity
title_sort circuit variability interacts with excitatory-inhibitory diversity of interneurons to regulate network encoding capacity
publisher Nature Portfolio
publishDate 2018
url https://doaj.org/article/33348a78ba9945fb8d8278dfcddebbcb
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AT kuanweili circuitvariabilityinteractswithexcitatoryinhibitorydiversityofinterneuronstoregulatenetworkencodingcapacity
AT wenlianghwang circuitvariabilityinteractswithexcitatoryinhibitorydiversityofinterneuronstoregulatenetworkencodingcapacity
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