Intrinsic timescales across the basal ganglia
Abstract Recent studies have shown that temporal stability of the neuronal activity over time can be estimated by the structure of the spike-count autocorrelation of neuronal populations. This estimation, called the intrinsic timescale, has been computed for several cortical areas and can be used to...
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Nature Portfolio
2021
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oai:doaj.org-article:e3f7e98cb8f7486dba07a82748a7c5d42021-11-08T10:48:12ZIntrinsic timescales across the basal ganglia10.1038/s41598-021-00512-22045-2322https://doaj.org/article/e3f7e98cb8f7486dba07a82748a7c5d42021-11-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-00512-2https://doaj.org/toc/2045-2322Abstract Recent studies have shown that temporal stability of the neuronal activity over time can be estimated by the structure of the spike-count autocorrelation of neuronal populations. This estimation, called the intrinsic timescale, has been computed for several cortical areas and can be used to propose a cortical hierarchy reflecting a scale of temporal receptive windows between areas. In this study, we performed an autocorrelation analysis on neuronal populations of three basal ganglia (BG) nuclei, including the striatum and the subthalamic nucleus (STN), the input structures of the BG, and the external globus pallidus (GPe). The analysis was performed during the baseline period of a motivational visuomotor task in which monkeys had to apply different amounts of force to receive different amounts of reward. We found that the striatum and the STN have longer intrinsic timescales than the GPe. Moreover, our results allow for the placement of these subcortical structures within the already-defined scale of cortical temporal receptive windows. Estimates of intrinsic timescales are important in adding further constraints in the development of computational models of the complex dynamics among these nuclei and throughout cortico-BG-thalamo-cortical loops.Simon NougaretValeria FascianelliSabrina RavelAldo GenovesioNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-8 (2021) |
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Medicine R Science Q Simon Nougaret Valeria Fascianelli Sabrina Ravel Aldo Genovesio Intrinsic timescales across the basal ganglia |
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Abstract Recent studies have shown that temporal stability of the neuronal activity over time can be estimated by the structure of the spike-count autocorrelation of neuronal populations. This estimation, called the intrinsic timescale, has been computed for several cortical areas and can be used to propose a cortical hierarchy reflecting a scale of temporal receptive windows between areas. In this study, we performed an autocorrelation analysis on neuronal populations of three basal ganglia (BG) nuclei, including the striatum and the subthalamic nucleus (STN), the input structures of the BG, and the external globus pallidus (GPe). The analysis was performed during the baseline period of a motivational visuomotor task in which monkeys had to apply different amounts of force to receive different amounts of reward. We found that the striatum and the STN have longer intrinsic timescales than the GPe. Moreover, our results allow for the placement of these subcortical structures within the already-defined scale of cortical temporal receptive windows. Estimates of intrinsic timescales are important in adding further constraints in the development of computational models of the complex dynamics among these nuclei and throughout cortico-BG-thalamo-cortical loops. |
format |
article |
author |
Simon Nougaret Valeria Fascianelli Sabrina Ravel Aldo Genovesio |
author_facet |
Simon Nougaret Valeria Fascianelli Sabrina Ravel Aldo Genovesio |
author_sort |
Simon Nougaret |
title |
Intrinsic timescales across the basal ganglia |
title_short |
Intrinsic timescales across the basal ganglia |
title_full |
Intrinsic timescales across the basal ganglia |
title_fullStr |
Intrinsic timescales across the basal ganglia |
title_full_unstemmed |
Intrinsic timescales across the basal ganglia |
title_sort |
intrinsic timescales across the basal ganglia |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/e3f7e98cb8f7486dba07a82748a7c5d4 |
work_keys_str_mv |
AT simonnougaret intrinsictimescalesacrossthebasalganglia AT valeriafascianelli intrinsictimescalesacrossthebasalganglia AT sabrinaravel intrinsictimescalesacrossthebasalganglia AT aldogenovesio intrinsictimescalesacrossthebasalganglia |
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