Extracting information from the power spectrum of voltage noise

Alain Destexhe and Michael Rudolph

Neurocomputing 65: 901-906, 2005.

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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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