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Computational models of neurotransmission at cerebellar synapses unveil the impact on network computation
The neuroscientific field benefits from the conjoint evolution of experimental and computational techniques, allowing for the reconstruction and simulation of complex models of neurons and synapses. Chemical synapses are characterized by presynaptic vesicle cycling, neurotransmitter diffusion, and p...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9649760/ https://www.ncbi.nlm.nih.gov/pubmed/36387305 http://dx.doi.org/10.3389/fncom.2022.1006989 |
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author | Masoli, Stefano Rizza, Martina Francesca Tognolina, Marialuisa Prestori, Francesca D’Angelo, Egidio |
author_facet | Masoli, Stefano Rizza, Martina Francesca Tognolina, Marialuisa Prestori, Francesca D’Angelo, Egidio |
author_sort | Masoli, Stefano |
collection | PubMed |
description | The neuroscientific field benefits from the conjoint evolution of experimental and computational techniques, allowing for the reconstruction and simulation of complex models of neurons and synapses. Chemical synapses are characterized by presynaptic vesicle cycling, neurotransmitter diffusion, and postsynaptic receptor activation, which eventually lead to postsynaptic currents and subsequent membrane potential changes. These mechanisms have been accurately modeled for different synapses and receptor types (AMPA, NMDA, and GABA) of the cerebellar cortical network, allowing simulation of their impact on computation. Of special relevance is short-term synaptic plasticity, which generates spatiotemporal filtering in local microcircuits and controls burst transmission and information flow through the network. Here, we present how data-driven computational models recapitulate the properties of neurotransmission at cerebellar synapses. The simulation of microcircuit models is starting to reveal how diverse synaptic mechanisms shape the spatiotemporal profiles of circuit activity and computation. |
format | Online Article Text |
id | pubmed-9649760 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-96497602022-11-15 Computational models of neurotransmission at cerebellar synapses unveil the impact on network computation Masoli, Stefano Rizza, Martina Francesca Tognolina, Marialuisa Prestori, Francesca D’Angelo, Egidio Front Comput Neurosci Neuroscience The neuroscientific field benefits from the conjoint evolution of experimental and computational techniques, allowing for the reconstruction and simulation of complex models of neurons and synapses. Chemical synapses are characterized by presynaptic vesicle cycling, neurotransmitter diffusion, and postsynaptic receptor activation, which eventually lead to postsynaptic currents and subsequent membrane potential changes. These mechanisms have been accurately modeled for different synapses and receptor types (AMPA, NMDA, and GABA) of the cerebellar cortical network, allowing simulation of their impact on computation. Of special relevance is short-term synaptic plasticity, which generates spatiotemporal filtering in local microcircuits and controls burst transmission and information flow through the network. Here, we present how data-driven computational models recapitulate the properties of neurotransmission at cerebellar synapses. The simulation of microcircuit models is starting to reveal how diverse synaptic mechanisms shape the spatiotemporal profiles of circuit activity and computation. Frontiers Media S.A. 2022-10-28 /pmc/articles/PMC9649760/ /pubmed/36387305 http://dx.doi.org/10.3389/fncom.2022.1006989 Text en Copyright © 2022 Masoli, Rizza, Tognolina, Prestori and D’Angelo. 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 Masoli, Stefano Rizza, Martina Francesca Tognolina, Marialuisa Prestori, Francesca D’Angelo, Egidio Computational models of neurotransmission at cerebellar synapses unveil the impact on network computation |
title | Computational models of neurotransmission at cerebellar synapses unveil the impact on network computation |
title_full | Computational models of neurotransmission at cerebellar synapses unveil the impact on network computation |
title_fullStr | Computational models of neurotransmission at cerebellar synapses unveil the impact on network computation |
title_full_unstemmed | Computational models of neurotransmission at cerebellar synapses unveil the impact on network computation |
title_short | Computational models of neurotransmission at cerebellar synapses unveil the impact on network computation |
title_sort | computational models of neurotransmission at cerebellar synapses unveil the impact on network computation |
topic | Neuroscience |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9649760/ https://www.ncbi.nlm.nih.gov/pubmed/36387305 http://dx.doi.org/10.3389/fncom.2022.1006989 |
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