Multiplexing Visual Signals in the Suprachiasmatic Nuclei

Summary: The suprachiasmatic nuclei (SCN), the site of the mammalian circadian (daily) pacemaker, contains thousands of interconnected neurons, some of which receive direct retinal input. Here, we study the fast (<1 s) responses of SCN neurons to visual stimuli with a large-scale mathematical mod...
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Autor*in:	Adam R. Stinchcombe [verfasserIn] Joshua W. Mouland [verfasserIn] Kwoon Y. Wong [verfasserIn] Robert J. Lucas [verfasserIn] Daniel B. Forger [verfasserIn]

Format:	E-Artikel
Sprache:	Englisch

Erschienen:	2017

Übergeordnetes Werk:	In: Cell Reports - Elsevier, 2015, 21(2017), 6, Seite 1418-1425
Übergeordnetes Werk:	volume:21 ; year:2017 ; number:6 ; pages:1418-1425

Links:	Link aufrufen Link aufrufen Link aufrufen Journal toc

DOI / URN:	10.1016/j.celrep.2017.10.045

Katalog-ID:	DOAJ042158176

Internformat


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publishDate	2017
allfields	10.1016/j.celrep.2017.10.045 doi (DE-627)DOAJ042158176 (DE-599)DOAJf99057ca40414b9b84553052897ef974 DE-627 ger DE-627 rakwb eng QH301-705.5 Adam R. Stinchcombe verfasserin aut Multiplexing Visual Signals in the Suprachiasmatic Nuclei 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Summary: The suprachiasmatic nuclei (SCN), the site of the mammalian circadian (daily) pacemaker, contains thousands of interconnected neurons, some of which receive direct retinal input. Here, we study the fast (<1 s) responses of SCN neurons to visual stimuli with a large-scale mathematical model tracking the ionic currents and voltage of all SCN neurons. We reconstruct the SCN network connectivity and reject 99.99% of theoretically possible SCN networks by requiring that the model reproduces experimentally determined receptive fields of SCN neurons. The model shows how the SCN neuronal network can enhance circadian entrainment by sensitizing a population of neurons in the ventral SCN to irradiance. This SCN network also increases the spatial acuity of neurons and increases the accuracy of a simulated subconscious spatial visual task. We hypothesize that much of the fast electrical activity within the SCN is related to the processing of spatial information. : Stinchcombe et al. use a mathematical model to show that the suprachiasmatic nuclei receives and processes spatial information to improve the performance of visual tasks, expanding the function assigned to this brain region. Keywords: suprachiasmatic nuclei, mathematical modeling, electrophysiology, circadian, spatial patterns, receptive field Biology (General) Joshua W. Mouland verfasserin aut Kwoon Y. Wong verfasserin aut Robert J. Lucas verfasserin aut Daniel B. Forger verfasserin aut In Cell Reports Elsevier, 2015 21(2017), 6, Seite 1418-1425 (DE-627)684964562 (DE-600)2649101-1 22111247 nnns volume:21 year:2017 number:6 pages:1418-1425 https://doi.org/10.1016/j.celrep.2017.10.045 kostenfrei https://doaj.org/article/f99057ca40414b9b84553052897ef974 kostenfrei http://www.sciencedirect.com/science/article/pii/S2211124717314924 kostenfrei https://doaj.org/toc/2211-1247 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 21 2017 6 1418-1425
spelling	10.1016/j.celrep.2017.10.045 doi (DE-627)DOAJ042158176 (DE-599)DOAJf99057ca40414b9b84553052897ef974 DE-627 ger DE-627 rakwb eng QH301-705.5 Adam R. Stinchcombe verfasserin aut Multiplexing Visual Signals in the Suprachiasmatic Nuclei 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Summary: The suprachiasmatic nuclei (SCN), the site of the mammalian circadian (daily) pacemaker, contains thousands of interconnected neurons, some of which receive direct retinal input. Here, we study the fast (<1 s) responses of SCN neurons to visual stimuli with a large-scale mathematical model tracking the ionic currents and voltage of all SCN neurons. We reconstruct the SCN network connectivity and reject 99.99% of theoretically possible SCN networks by requiring that the model reproduces experimentally determined receptive fields of SCN neurons. The model shows how the SCN neuronal network can enhance circadian entrainment by sensitizing a population of neurons in the ventral SCN to irradiance. This SCN network also increases the spatial acuity of neurons and increases the accuracy of a simulated subconscious spatial visual task. We hypothesize that much of the fast electrical activity within the SCN is related to the processing of spatial information. : Stinchcombe et al. use a mathematical model to show that the suprachiasmatic nuclei receives and processes spatial information to improve the performance of visual tasks, expanding the function assigned to this brain region. Keywords: suprachiasmatic nuclei, mathematical modeling, electrophysiology, circadian, spatial patterns, receptive field Biology (General) Joshua W. Mouland verfasserin aut Kwoon Y. Wong verfasserin aut Robert J. Lucas verfasserin aut Daniel B. Forger verfasserin aut In Cell Reports Elsevier, 2015 21(2017), 6, Seite 1418-1425 (DE-627)684964562 (DE-600)2649101-1 22111247 nnns volume:21 year:2017 number:6 pages:1418-1425 https://doi.org/10.1016/j.celrep.2017.10.045 kostenfrei https://doaj.org/article/f99057ca40414b9b84553052897ef974 kostenfrei http://www.sciencedirect.com/science/article/pii/S2211124717314924 kostenfrei https://doaj.org/toc/2211-1247 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 21 2017 6 1418-1425
allfields_unstemmed	10.1016/j.celrep.2017.10.045 doi (DE-627)DOAJ042158176 (DE-599)DOAJf99057ca40414b9b84553052897ef974 DE-627 ger DE-627 rakwb eng QH301-705.5 Adam R. Stinchcombe verfasserin aut Multiplexing Visual Signals in the Suprachiasmatic Nuclei 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Summary: The suprachiasmatic nuclei (SCN), the site of the mammalian circadian (daily) pacemaker, contains thousands of interconnected neurons, some of which receive direct retinal input. Here, we study the fast (<1 s) responses of SCN neurons to visual stimuli with a large-scale mathematical model tracking the ionic currents and voltage of all SCN neurons. We reconstruct the SCN network connectivity and reject 99.99% of theoretically possible SCN networks by requiring that the model reproduces experimentally determined receptive fields of SCN neurons. The model shows how the SCN neuronal network can enhance circadian entrainment by sensitizing a population of neurons in the ventral SCN to irradiance. This SCN network also increases the spatial acuity of neurons and increases the accuracy of a simulated subconscious spatial visual task. We hypothesize that much of the fast electrical activity within the SCN is related to the processing of spatial information. : Stinchcombe et al. use a mathematical model to show that the suprachiasmatic nuclei receives and processes spatial information to improve the performance of visual tasks, expanding the function assigned to this brain region. Keywords: suprachiasmatic nuclei, mathematical modeling, electrophysiology, circadian, spatial patterns, receptive field Biology (General) Joshua W. Mouland verfasserin aut Kwoon Y. Wong verfasserin aut Robert J. Lucas verfasserin aut Daniel B. Forger verfasserin aut In Cell Reports Elsevier, 2015 21(2017), 6, Seite 1418-1425 (DE-627)684964562 (DE-600)2649101-1 22111247 nnns volume:21 year:2017 number:6 pages:1418-1425 https://doi.org/10.1016/j.celrep.2017.10.045 kostenfrei https://doaj.org/article/f99057ca40414b9b84553052897ef974 kostenfrei http://www.sciencedirect.com/science/article/pii/S2211124717314924 kostenfrei https://doaj.org/toc/2211-1247 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 21 2017 6 1418-1425
allfieldsGer	10.1016/j.celrep.2017.10.045 doi (DE-627)DOAJ042158176 (DE-599)DOAJf99057ca40414b9b84553052897ef974 DE-627 ger DE-627 rakwb eng QH301-705.5 Adam R. Stinchcombe verfasserin aut Multiplexing Visual Signals in the Suprachiasmatic Nuclei 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Summary: The suprachiasmatic nuclei (SCN), the site of the mammalian circadian (daily) pacemaker, contains thousands of interconnected neurons, some of which receive direct retinal input. Here, we study the fast (<1 s) responses of SCN neurons to visual stimuli with a large-scale mathematical model tracking the ionic currents and voltage of all SCN neurons. We reconstruct the SCN network connectivity and reject 99.99% of theoretically possible SCN networks by requiring that the model reproduces experimentally determined receptive fields of SCN neurons. The model shows how the SCN neuronal network can enhance circadian entrainment by sensitizing a population of neurons in the ventral SCN to irradiance. This SCN network also increases the spatial acuity of neurons and increases the accuracy of a simulated subconscious spatial visual task. We hypothesize that much of the fast electrical activity within the SCN is related to the processing of spatial information. : Stinchcombe et al. use a mathematical model to show that the suprachiasmatic nuclei receives and processes spatial information to improve the performance of visual tasks, expanding the function assigned to this brain region. Keywords: suprachiasmatic nuclei, mathematical modeling, electrophysiology, circadian, spatial patterns, receptive field Biology (General) Joshua W. Mouland verfasserin aut Kwoon Y. Wong verfasserin aut Robert J. Lucas verfasserin aut Daniel B. Forger verfasserin aut In Cell Reports Elsevier, 2015 21(2017), 6, Seite 1418-1425 (DE-627)684964562 (DE-600)2649101-1 22111247 nnns volume:21 year:2017 number:6 pages:1418-1425 https://doi.org/10.1016/j.celrep.2017.10.045 kostenfrei https://doaj.org/article/f99057ca40414b9b84553052897ef974 kostenfrei http://www.sciencedirect.com/science/article/pii/S2211124717314924 kostenfrei https://doaj.org/toc/2211-1247 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 21 2017 6 1418-1425
allfieldsSound	10.1016/j.celrep.2017.10.045 doi (DE-627)DOAJ042158176 (DE-599)DOAJf99057ca40414b9b84553052897ef974 DE-627 ger DE-627 rakwb eng QH301-705.5 Adam R. Stinchcombe verfasserin aut Multiplexing Visual Signals in the Suprachiasmatic Nuclei 2017 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier Summary: The suprachiasmatic nuclei (SCN), the site of the mammalian circadian (daily) pacemaker, contains thousands of interconnected neurons, some of which receive direct retinal input. Here, we study the fast (<1 s) responses of SCN neurons to visual stimuli with a large-scale mathematical model tracking the ionic currents and voltage of all SCN neurons. We reconstruct the SCN network connectivity and reject 99.99% of theoretically possible SCN networks by requiring that the model reproduces experimentally determined receptive fields of SCN neurons. The model shows how the SCN neuronal network can enhance circadian entrainment by sensitizing a population of neurons in the ventral SCN to irradiance. This SCN network also increases the spatial acuity of neurons and increases the accuracy of a simulated subconscious spatial visual task. We hypothesize that much of the fast electrical activity within the SCN is related to the processing of spatial information. : Stinchcombe et al. use a mathematical model to show that the suprachiasmatic nuclei receives and processes spatial information to improve the performance of visual tasks, expanding the function assigned to this brain region. Keywords: suprachiasmatic nuclei, mathematical modeling, electrophysiology, circadian, spatial patterns, receptive field Biology (General) Joshua W. Mouland verfasserin aut Kwoon Y. Wong verfasserin aut Robert J. Lucas verfasserin aut Daniel B. Forger verfasserin aut In Cell Reports Elsevier, 2015 21(2017), 6, Seite 1418-1425 (DE-627)684964562 (DE-600)2649101-1 22111247 nnns volume:21 year:2017 number:6 pages:1418-1425 https://doi.org/10.1016/j.celrep.2017.10.045 kostenfrei https://doaj.org/article/f99057ca40414b9b84553052897ef974 kostenfrei http://www.sciencedirect.com/science/article/pii/S2211124717314924 kostenfrei https://doaj.org/toc/2211-1247 Journal toc kostenfrei GBV_USEFLAG_A SYSFLAG_A GBV_DOAJ SSG-OLC-PHA GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_65 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_95 GBV_ILN_105 GBV_ILN_110 GBV_ILN_151 GBV_ILN_161 GBV_ILN_170 GBV_ILN_206 GBV_ILN_213 GBV_ILN_230 GBV_ILN_285 GBV_ILN_293 GBV_ILN_602 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2038 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2110 GBV_ILN_2112 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2153 GBV_ILN_2190 GBV_ILN_2470 GBV_ILN_2507 GBV_ILN_4012 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4333 GBV_ILN_4338 GBV_ILN_4367 GBV_ILN_4393 GBV_ILN_4700 AR 21 2017 6 1418-1425
language	English
source	In Cell Reports 21(2017), 6, Seite 1418-1425 volume:21 year:2017 number:6 pages:1418-1425
sourceStr	In Cell Reports 21(2017), 6, Seite 1418-1425 volume:21 year:2017 number:6 pages:1418-1425
format_phy_str_mv	Article
institution	findex.gbv.de
topic_facet	Biology (General)
isfreeaccess_bool	true
container_title	Cell Reports
authorswithroles_txt_mv	Adam R. Stinchcombe @@aut@@ Joshua W. Mouland @@aut@@ Kwoon Y. Wong @@aut@@ Robert J. Lucas @@aut@@ Daniel B. Forger @@aut@@
publishDateDaySort_date	2017-01-01T00:00:00Z
hierarchy_top_id	684964562
id	DOAJ042158176
language_de	englisch
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callnumber-first	Q - Science
author	Adam R. Stinchcombe
spellingShingle	Adam R. Stinchcombe misc QH301-705.5 misc Biology (General) Multiplexing Visual Signals in the Suprachiasmatic Nuclei
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topic_title	QH301-705.5 Multiplexing Visual Signals in the Suprachiasmatic Nuclei
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title	Multiplexing Visual Signals in the Suprachiasmatic Nuclei
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title_full	Multiplexing Visual Signals in the Suprachiasmatic Nuclei
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author_browse	Adam R. Stinchcombe Joshua W. Mouland Kwoon Y. Wong Robert J. Lucas Daniel B. Forger
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title_sort	multiplexing visual signals in the suprachiasmatic nuclei
callnumber	QH301-705.5
title_auth	Multiplexing Visual Signals in the Suprachiasmatic Nuclei
abstract	Summary: The suprachiasmatic nuclei (SCN), the site of the mammalian circadian (daily) pacemaker, contains thousands of interconnected neurons, some of which receive direct retinal input. Here, we study the fast (<1 s) responses of SCN neurons to visual stimuli with a large-scale mathematical model tracking the ionic currents and voltage of all SCN neurons. We reconstruct the SCN network connectivity and reject 99.99% of theoretically possible SCN networks by requiring that the model reproduces experimentally determined receptive fields of SCN neurons. The model shows how the SCN neuronal network can enhance circadian entrainment by sensitizing a population of neurons in the ventral SCN to irradiance. This SCN network also increases the spatial acuity of neurons and increases the accuracy of a simulated subconscious spatial visual task. We hypothesize that much of the fast electrical activity within the SCN is related to the processing of spatial information. : Stinchcombe et al. use a mathematical model to show that the suprachiasmatic nuclei receives and processes spatial information to improve the performance of visual tasks, expanding the function assigned to this brain region. Keywords: suprachiasmatic nuclei, mathematical modeling, electrophysiology, circadian, spatial patterns, receptive field
abstractGer	Summary: The suprachiasmatic nuclei (SCN), the site of the mammalian circadian (daily) pacemaker, contains thousands of interconnected neurons, some of which receive direct retinal input. Here, we study the fast (<1 s) responses of SCN neurons to visual stimuli with a large-scale mathematical model tracking the ionic currents and voltage of all SCN neurons. We reconstruct the SCN network connectivity and reject 99.99% of theoretically possible SCN networks by requiring that the model reproduces experimentally determined receptive fields of SCN neurons. The model shows how the SCN neuronal network can enhance circadian entrainment by sensitizing a population of neurons in the ventral SCN to irradiance. This SCN network also increases the spatial acuity of neurons and increases the accuracy of a simulated subconscious spatial visual task. We hypothesize that much of the fast electrical activity within the SCN is related to the processing of spatial information. : Stinchcombe et al. use a mathematical model to show that the suprachiasmatic nuclei receives and processes spatial information to improve the performance of visual tasks, expanding the function assigned to this brain region. Keywords: suprachiasmatic nuclei, mathematical modeling, electrophysiology, circadian, spatial patterns, receptive field
abstract_unstemmed	Summary: The suprachiasmatic nuclei (SCN), the site of the mammalian circadian (daily) pacemaker, contains thousands of interconnected neurons, some of which receive direct retinal input. Here, we study the fast (<1 s) responses of SCN neurons to visual stimuli with a large-scale mathematical model tracking the ionic currents and voltage of all SCN neurons. We reconstruct the SCN network connectivity and reject 99.99% of theoretically possible SCN networks by requiring that the model reproduces experimentally determined receptive fields of SCN neurons. The model shows how the SCN neuronal network can enhance circadian entrainment by sensitizing a population of neurons in the ventral SCN to irradiance. This SCN network also increases the spatial acuity of neurons and increases the accuracy of a simulated subconscious spatial visual task. We hypothesize that much of the fast electrical activity within the SCN is related to the processing of spatial information. : Stinchcombe et al. use a mathematical model to show that the suprachiasmatic nuclei receives and processes spatial information to improve the performance of visual tasks, expanding the function assigned to this brain region. Keywords: suprachiasmatic nuclei, mathematical modeling, electrophysiology, circadian, spatial patterns, receptive field
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title_short	Multiplexing Visual Signals in the Suprachiasmatic Nuclei
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up_date	2024-07-03T23:52:48.810Z
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score	7.3999777

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Multiplexing Visual Signals in the Suprachiasmatic Nuclei

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