Extracting information from the power spectrum of voltage noise
Alain Destexhe and Michael Rudolph
Neurocomputing 65: 901-906, 2005.
We outline an approximation for obtaining an analytic expression of the power
spectral density (PSD) of the membrane potential (Vm) in neurons subject to
synaptic noise. In high-conductance states, there is a remarkable agreement
between this approximation and PSDs computed numerically. This analytic
expression can be used to predict how the PSDcdepends on the exact kinetic model
for synaptic currents, as well as on the values of the rate constants. This
approach can therefore yield methods to estimate the characteristics of the
kinetics of individual synaptic conductances from the analysis of the Vm activity
in intracellular recordings in vivo.
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