QIF method to estimate synaptic conductances (Vich et al 2017)

"Subthreshold fluctuations in neuronal membrane potential traces contain nonlinear components, and employing nonlinear models might improve the statistical inference. We propose a new strategy to estimate synaptic conductances, which has been tested using in silico data and applied to in vivo recordings. The model is constructed to capture the nonlinearities caused by subthreshold activated currents, and the estimation procedure can discern between excitatory and inhibitory conductances using only one membrane potential trace. ... The results show an improvement compared to existent procedures for the models tested here."

Model Type: Synapse

Cell Type(s): Abstract quadratic integrate-and-fire

Model Concept(s): Conductances estimation

Simulation Environment: MATLAB

Implementer(s): Vich, Catalina [catalina.vich at uib.es]


Vich C, Berg RW, Guillamon A, Ditlevsen S. (2017). Estimation of Synaptic Conductances in Presence of Nonlinear Effects Caused by Subthreshold Ionic Currents. Frontiers in computational neuroscience. 11 [PubMed]

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