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Noise shaping is well known from ΣΔ-conversion. This paper shows that similar effects can be achieved with models inspired by the human neuronal system. Structural similarities between a traditional ΣΔ-converter and a VLSI-model of a biological neuron are shown. A novel analogue VLSI-implementation of a coupled neuronal group is suggested, supported by a theoretical discussion on the effect of increasing the number of neurons, and on the benefit of an asynchronous system. Simulation-results from MATLAB and measured results are included.