Cross-spectral measurement of neural signal transfer
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The phenomenon of noise enhanced signal transfer, or stochastic resonance, has been observed in many nonlinear systems such as neurons and ion channels. Initial studies of stochastic resonance focused on systems driven by a periodic signal, and hence used a signal to noise ratio based measure for comparison between the input and output of the system. It has been pointed out that for the more general case of aperiodic signals other measures are required, such as cross-correlation or information theoretical tools. In this paper we present simulation results obtained in a model neural system driven by a broadband aperiodic signal, and producing a signal imitating neural spikes. The system is analyzed by using cross-spectral measures.
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Noise in Complex Systems and Stochastic Dynamics II