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...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2022-10-01
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| Series: | Frontiers in Computational Neuroscience |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fncom.2022.1006989/full |
| _version_ | 1811197349053071360 |
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| author | Stefano Masoli Martina Francesca Rizza Marialuisa Tognolina Francesca Prestori Egidio D’Angelo Egidio D’Angelo |
| author_facet | Stefano Masoli Martina Francesca Rizza Marialuisa Tognolina Francesca Prestori Egidio D’Angelo Egidio D’Angelo |
| author_sort | Stefano Masoli |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-12T01:13:10Z |
| format | Article |
| id | doaj.art-41ddf373a48a4319b49a613d3b1c80db |
| institution | Directory Open Access Journal |
| issn | 1662-5188 |
| language | English |
| last_indexed | 2024-04-12T01:13:10Z |
| publishDate | 2022-10-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Computational Neuroscience |
| spelling | doaj.art-41ddf373a48a4319b49a613d3b1c80db2022-12-22T03:54:03ZengFrontiers Media S.A.Frontiers in Computational Neuroscience1662-51882022-10-011610.3389/fncom.2022.10069891006989Computational models of neurotransmission at cerebellar synapses unveil the impact on network computationStefano Masoli0Martina Francesca Rizza1Marialuisa Tognolina2Francesca Prestori3Egidio D’Angelo4Egidio D’Angelo5Department of Brain and Behavioral Sciences, University of Pavia, Pavia, ItalyDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, ItalyDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, ItalyDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, ItalyDepartment of Brain and Behavioral Sciences, University of Pavia, Pavia, ItalyIRCCS Mondino Foundation, Brain Connectivity Center, Pavia, ItalyThe 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.https://www.frontiersin.org/articles/10.3389/fncom.2022.1006989/fullcerebellumsynapsesreceptorscomputational modelpurkinje cellgranule cell |
| spellingShingle | Stefano Masoli Martina Francesca Rizza Marialuisa Tognolina Francesca Prestori Egidio D’Angelo Egidio D’Angelo Computational models of neurotransmission at cerebellar synapses unveil the impact on network computation Frontiers in Computational Neuroscience cerebellum synapses receptors computational model purkinje cell granule cell |
| 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 | cerebellum synapses receptors computational model purkinje cell granule cell |
| url | https://www.frontiersin.org/articles/10.3389/fncom.2022.1006989/full |
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