Stellate cell computational modeling predicts signal filtering in the molecular layer circuit of cerebellum
Abstract The functional properties of cerebellar stellate cells and the way they regulate molecular layer activity are still unclear. We have measured stellate cells electroresponsiveness and their activation by parallel fiber bursts. Stellate cells showed intrinsic pacemaking, along with characteri...
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2021
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oai:doaj.org-article:92c916d78a9341639a02a6c815974b122021-12-02T10:54:14ZStellate cell computational modeling predicts signal filtering in the molecular layer circuit of cerebellum10.1038/s41598-021-83209-w2045-2322https://doaj.org/article/92c916d78a9341639a02a6c815974b122021-02-01T00:00:00Zhttps://doi.org/10.1038/s41598-021-83209-whttps://doaj.org/toc/2045-2322Abstract The functional properties of cerebellar stellate cells and the way they regulate molecular layer activity are still unclear. We have measured stellate cells electroresponsiveness and their activation by parallel fiber bursts. Stellate cells showed intrinsic pacemaking, along with characteristic responses to depolarization and hyperpolarization, and showed a marked short-term facilitation during repetitive parallel fiber transmission. Spikes were emitted after a lag and only at high frequency, making stellate cells to operate as delay-high-pass filters. A detailed computational model summarizing these physiological properties allowed to explore different functional configurations of the parallel fiber—stellate cell—Purkinje cell circuit. Simulations showed that, following parallel fiber stimulation, Purkinje cells almost linearly increased their response with input frequency, but such an increase was inhibited by stellate cells, which leveled the Purkinje cell gain curve to its 4 Hz value. When reciprocal inhibitory connections between stellate cells were activated, the control of stellate cells over Purkinje cell discharge was maintained only at very high frequencies. These simulations thus predict a new role for stellate cells, which could endow the molecular layer with low-pass and band-pass filtering properties regulating Purkinje cell gain and, along with this, also burst delay and the burst-pause responses pattern.Martina Francesca RizzaFrancesca LocatelliStefano MasoliDiana Sánchez-PonceAlberto MuñozFrancesca PrestoriEgidio D’AngeloNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 11, Iss 1, Pp 1-17 (2021) |
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Medicine R Science Q Martina Francesca Rizza Francesca Locatelli Stefano Masoli Diana Sánchez-Ponce Alberto Muñoz Francesca Prestori Egidio D’Angelo Stellate cell computational modeling predicts signal filtering in the molecular layer circuit of cerebellum |
description |
Abstract The functional properties of cerebellar stellate cells and the way they regulate molecular layer activity are still unclear. We have measured stellate cells electroresponsiveness and their activation by parallel fiber bursts. Stellate cells showed intrinsic pacemaking, along with characteristic responses to depolarization and hyperpolarization, and showed a marked short-term facilitation during repetitive parallel fiber transmission. Spikes were emitted after a lag and only at high frequency, making stellate cells to operate as delay-high-pass filters. A detailed computational model summarizing these physiological properties allowed to explore different functional configurations of the parallel fiber—stellate cell—Purkinje cell circuit. Simulations showed that, following parallel fiber stimulation, Purkinje cells almost linearly increased their response with input frequency, but such an increase was inhibited by stellate cells, which leveled the Purkinje cell gain curve to its 4 Hz value. When reciprocal inhibitory connections between stellate cells were activated, the control of stellate cells over Purkinje cell discharge was maintained only at very high frequencies. These simulations thus predict a new role for stellate cells, which could endow the molecular layer with low-pass and band-pass filtering properties regulating Purkinje cell gain and, along with this, also burst delay and the burst-pause responses pattern. |
format |
article |
author |
Martina Francesca Rizza Francesca Locatelli Stefano Masoli Diana Sánchez-Ponce Alberto Muñoz Francesca Prestori Egidio D’Angelo |
author_facet |
Martina Francesca Rizza Francesca Locatelli Stefano Masoli Diana Sánchez-Ponce Alberto Muñoz Francesca Prestori Egidio D’Angelo |
author_sort |
Martina Francesca Rizza |
title |
Stellate cell computational modeling predicts signal filtering in the molecular layer circuit of cerebellum |
title_short |
Stellate cell computational modeling predicts signal filtering in the molecular layer circuit of cerebellum |
title_full |
Stellate cell computational modeling predicts signal filtering in the molecular layer circuit of cerebellum |
title_fullStr |
Stellate cell computational modeling predicts signal filtering in the molecular layer circuit of cerebellum |
title_full_unstemmed |
Stellate cell computational modeling predicts signal filtering in the molecular layer circuit of cerebellum |
title_sort |
stellate cell computational modeling predicts signal filtering in the molecular layer circuit of cerebellum |
publisher |
Nature Portfolio |
publishDate |
2021 |
url |
https://doaj.org/article/92c916d78a9341639a02a6c815974b12 |
work_keys_str_mv |
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1718396482469494784 |