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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...

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Autores principales: Masoli, Stefano, Rizza, Martina Francesca, Tognolina, Marialuisa, Prestori, Francesca, D’Angelo, Egidio
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2022
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.
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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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