Paper
25 May 2004 Cross-spectral measurement of neural signal transfer
Author Affiliations +
Proceedings Volume 5471, Noise in Complex Systems and Stochastic Dynamics II; (2004) https://doi.org/10.1117/12.546926
Event: Second International Symposium on Fluctuations and Noise, 2004, Maspalomas, Gran Canaria Island, Spain
Abstract
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.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Mark D. McDonnell, Swaminathan Sethuraman, Laszlo B. Kish, and Derek Abbott "Cross-spectral measurement of neural signal transfer", Proc. SPIE 5471, Noise in Complex Systems and Stochastic Dynamics II, (25 May 2004); https://doi.org/10.1117/12.546926
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Cited by 2 scholarly publications.
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KEYWORDS
Signal to noise ratio

Interference (communication)

Neurons

Stochastic processes

Complex systems

Filtering (signal processing)

Fourier transforms

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