Estimation of neuronal biophysical parameters in the presence of experimental noise using computer simulations and probabilistic inference methods
Dániel Terbe, Balázs Szabó, Szabolcs Káli · FENS Forum 2024
The electrical behavior of neurons depends on their morphology as well as various biophysical characteristics including passive membrane and intracellular properties and the identities and densities of voltage-gated ion channels. However, some of these parameters are often not sufficiently constrained by the available experimental data and need to be inferred from the response of the neuron to specific external stimuli. Data-driven models have proved to be useful in this context; one approach is to tune the unknown parameters in the model until the output of the model best approximates the tar
ePoster · Neuroscience