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A Layered Control Architecture of Sleep and Arousal
Sleep and wakefulness are promoted not by a single neural pathway but via wake or sleep-promoting nodes distributed across layers of the brain. We equate each layer with a brain region in proposing a layered subsumption model for arousal based on a computational architecture. Beyond the brainstem th...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7028742/ https://www.ncbi.nlm.nih.gov/pubmed/32116622 http://dx.doi.org/10.3389/fncom.2020.00008 |
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author | Chen, Michael C. Sorooshyari, Siamak K. Lin, Jian-Sheng Lu, Jun |
author_facet | Chen, Michael C. Sorooshyari, Siamak K. Lin, Jian-Sheng Lu, Jun |
author_sort | Chen, Michael C. |
collection | PubMed |
description | Sleep and wakefulness are promoted not by a single neural pathway but via wake or sleep-promoting nodes distributed across layers of the brain. We equate each layer with a brain region in proposing a layered subsumption model for arousal based on a computational architecture. Beyond the brainstem the layers include the diencephalon (hypothalamus, thalamus), basal ganglia, and cortex. In light of existing empirical evidence, we propose that each layer have sleep and wake computations driven by similar high-level architecture and processing units. Specifically, an interconnected wake-promoting system is suggested as driving arousal in each brain layer with the processing converging to produce the features of wakefulness. In contrast, sleep-promoting GABAergic neurons largely project to and inhibit wake-promoting neurons. We propose a general pattern of caudal wake-promoting and sleep-promoting neurons having a strong effect on overall behavior. However, while rostral brain layers have less influence on sleep and wake, through descending projections, they can subsume the activity of caudal brain layers to promote arousal. The two models presented in this work will suggest computations for the layering and hierarchy. Through dynamic system theory several hypotheses are introduced for the interaction of controllers and systems that correspond to the different populations of neurons at each layer. The models will be drawn-upon to discuss future experiments to elucidate the structure of the hierarchy that exists among the sleep-arousal architecture. |
format | Online Article Text |
id | pubmed-7028742 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-70287422020-02-28 A Layered Control Architecture of Sleep and Arousal Chen, Michael C. Sorooshyari, Siamak K. Lin, Jian-Sheng Lu, Jun Front Comput Neurosci Neuroscience Sleep and wakefulness are promoted not by a single neural pathway but via wake or sleep-promoting nodes distributed across layers of the brain. We equate each layer with a brain region in proposing a layered subsumption model for arousal based on a computational architecture. Beyond the brainstem the layers include the diencephalon (hypothalamus, thalamus), basal ganglia, and cortex. In light of existing empirical evidence, we propose that each layer have sleep and wake computations driven by similar high-level architecture and processing units. Specifically, an interconnected wake-promoting system is suggested as driving arousal in each brain layer with the processing converging to produce the features of wakefulness. In contrast, sleep-promoting GABAergic neurons largely project to and inhibit wake-promoting neurons. We propose a general pattern of caudal wake-promoting and sleep-promoting neurons having a strong effect on overall behavior. However, while rostral brain layers have less influence on sleep and wake, through descending projections, they can subsume the activity of caudal brain layers to promote arousal. The two models presented in this work will suggest computations for the layering and hierarchy. Through dynamic system theory several hypotheses are introduced for the interaction of controllers and systems that correspond to the different populations of neurons at each layer. The models will be drawn-upon to discuss future experiments to elucidate the structure of the hierarchy that exists among the sleep-arousal architecture. Frontiers Media S.A. 2020-02-12 /pmc/articles/PMC7028742/ /pubmed/32116622 http://dx.doi.org/10.3389/fncom.2020.00008 Text en Copyright © 2020 Chen, Sorooshyari, Lin and Lu. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Neuroscience Chen, Michael C. Sorooshyari, Siamak K. Lin, Jian-Sheng Lu, Jun A Layered Control Architecture of Sleep and Arousal |
title | A Layered Control Architecture of Sleep and Arousal |
title_full | A Layered Control Architecture of Sleep and Arousal |
title_fullStr | A Layered Control Architecture of Sleep and Arousal |
title_full_unstemmed | A Layered Control Architecture of Sleep and Arousal |
title_short | A Layered Control Architecture of Sleep and Arousal |
title_sort | layered control architecture of sleep and arousal |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7028742/ https://www.ncbi.nlm.nih.gov/pubmed/32116622 http://dx.doi.org/10.3389/fncom.2020.00008 |
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