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Modeling Circadian Phototransduction: Quantitative Predictions of Psychophysical Data
A revised computational model of circadian phototransduction is presented. The first step was to characterize the spectral sensitivity of the retinal circuit using suppression of the synthesis of melatonin by the pineal gland at night as the outcome measure. From the spectral sensitivity, circadian...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7893103/ https://www.ncbi.nlm.nih.gov/pubmed/33613181 http://dx.doi.org/10.3389/fnins.2021.615322 |
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author | Rea, Mark S. Nagare, Rohan Figueiro, Mariana G. |
author_facet | Rea, Mark S. Nagare, Rohan Figueiro, Mariana G. |
author_sort | Rea, Mark S. |
collection | PubMed |
description | A revised computational model of circadian phototransduction is presented. The first step was to characterize the spectral sensitivity of the retinal circuit using suppression of the synthesis of melatonin by the pineal gland at night as the outcome measure. From the spectral sensitivity, circadian light was defined. Circadian light, thereby rectifies any spectral power distribution into a single, instantaneous photometric quantity. The second step was to characterize the circuit’s response characteristic to different amounts of circadian light from threshold to saturation. By doing so a more complete instantaneous photometric quantity representing the circadian stimulus was defined in terms of both the spectral sensitivity and the response magnitude characteristic of the circadian phototransduction circuit. To validate the model of the circadian phototransduction circuit, it was necessary to augment the model to account for different durations of the circadian stimulus and distribution of the circadian stimulus across the retina. Two simple modifications to the model accounted for the duration and distribution of continuous light exposure during the early biological night. A companion paper (https://www.frontiersin.org/articles/10.3389/fnins.2020.615305/full) provides a neurophysiological foundation for the model parameters. |
format | Online Article Text |
id | pubmed-7893103 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-78931032021-02-20 Modeling Circadian Phototransduction: Quantitative Predictions of Psychophysical Data Rea, Mark S. Nagare, Rohan Figueiro, Mariana G. Front Neurosci Neuroscience A revised computational model of circadian phototransduction is presented. The first step was to characterize the spectral sensitivity of the retinal circuit using suppression of the synthesis of melatonin by the pineal gland at night as the outcome measure. From the spectral sensitivity, circadian light was defined. Circadian light, thereby rectifies any spectral power distribution into a single, instantaneous photometric quantity. The second step was to characterize the circuit’s response characteristic to different amounts of circadian light from threshold to saturation. By doing so a more complete instantaneous photometric quantity representing the circadian stimulus was defined in terms of both the spectral sensitivity and the response magnitude characteristic of the circadian phototransduction circuit. To validate the model of the circadian phototransduction circuit, it was necessary to augment the model to account for different durations of the circadian stimulus and distribution of the circadian stimulus across the retina. Two simple modifications to the model accounted for the duration and distribution of continuous light exposure during the early biological night. A companion paper (https://www.frontiersin.org/articles/10.3389/fnins.2020.615305/full) provides a neurophysiological foundation for the model parameters. Frontiers Media S.A. 2021-02-05 /pmc/articles/PMC7893103/ /pubmed/33613181 http://dx.doi.org/10.3389/fnins.2021.615322 Text en Copyright © 2021 Rea, Nagare and Figueiro. https://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 Rea, Mark S. Nagare, Rohan Figueiro, Mariana G. Modeling Circadian Phototransduction: Quantitative Predictions of Psychophysical Data |
title | Modeling Circadian Phototransduction: Quantitative Predictions of Psychophysical Data |
title_full | Modeling Circadian Phototransduction: Quantitative Predictions of Psychophysical Data |
title_fullStr | Modeling Circadian Phototransduction: Quantitative Predictions of Psychophysical Data |
title_full_unstemmed | Modeling Circadian Phototransduction: Quantitative Predictions of Psychophysical Data |
title_short | Modeling Circadian Phototransduction: Quantitative Predictions of Psychophysical Data |
title_sort | modeling circadian phototransduction: quantitative predictions of psychophysical data |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7893103/ https://www.ncbi.nlm.nih.gov/pubmed/33613181 http://dx.doi.org/10.3389/fnins.2021.615322 |
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