ReviewFrontiers in computational neuroscience2022
Computational models of neurotransmission at cerebellar synapses unveil the impact on network computation.
Review in Frontiers in computational neuroscience, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 11 citations in OpenAlex.
- Peptide-based allosteric modulators of AMPA receptors: design, docking and ligand-receptor interactions.Medicinal chemistry research : an international journal for rapid communications on design and mechanisms of action of biologically active agents · 2026Article
- Computational Neuroscience's Influence on Autism Neuro-Transmission Research: Mapping Serotonin, Dopamine, GABA, and Glutamate.Biomedicines · 2025Review
- Towards a quantum synapse for quantum sensing.Scientific reports · 2025Article
- Digitoids: a novel computational platform for mimicking oxygen-dependent firing of neuronsFrontiers in neuroinformatics · 2025Article
- Human Purkinje cells outperform mouse Purkinje cells in dendritic complexity and computational capacity.Communications biology · 2024Article
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Authors and funding
5 authors at 1 institution in 1 country.
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Abstract
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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