Effect of inhibitory diffusive coupling on frequency-selectivity of excitable media simulated with Cellular Neural Networks

We present a biologically inspired approach to time series analysis by means of nonlinear excitable media simulated with cellular neural networks. Following main principles of biophysical and neuronal mechanisms underlying sound processing in mammals we develop a method for the noise-tolerant instantaneous detection of transient spectral patterns. We also show an influence of the lateral inhibition on the frequency selectivity of excitable media

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