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The volterra functional series is a viable alternative to kinetic models for synaptic modeling -calibration and benchmarking.

, , , and . EMBC, page 3291-3294. IEEE, (2015)

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Volterra representation enables modeling of complex synaptic nonlinear dynamics in large-scale simulations., , , , and . Frontiers Comput. Neurosci., (2015)Development of a detailed model of calcium dynamics at the postsynaptic spine of an excitatory synapse., , , and . EMBC, page 6102-6105. IEEE, (2016)A comparison between direct and indirect measurements of neurotransmitter vesicle release dynamics: A computational study., , , , and . EMBC, page 1155-1158. IEEE, (2014)Modeling of the nervous system: From molecular dynamics and synaptic modulation to neuron spiking activity., , , , , , , , , and . EMBC, page 445-448. IEEE, (2011)Insights on synaptic paired-pulse response using parametric and non-parametric models., , , , , and . EMBC, page 1041-1044. IEEE, (2013)A Computational Model of Mitochondria Motility in Axons., , , , , , , and . EMBC, page 2287-2290. IEEE, (2020)Graph-Based Models of Cortical Axons for the Prediction of Neuronal Response to Extracellular Electrical Stimulation., , , and . EMBC, page 1380-1383. IEEE, (2018)Electrode Spacing and Current Distribution in Electrical Stimulation of Peripheral Nerve: A Computational Modeling Study using Realistic Nerve Models., , , , , , and . EMBC, page 4416-4419. IEEE, (2021)A programmable analog subthreshold biomimetic model for bi-directional communication with the brain., , , , and . EMBC, page 787-790. IEEE, (2013)The volterra functional series is a viable alternative to kinetic models for synaptic modeling -calibration and benchmarking., , , and . EMBC, page 3291-3294. IEEE, (2015)