Decoder Design Based on Spiking Neural P Systems

The spiking neural P systems (SN P systems, for short) refer to the parallel-distributed biocomputing models, which have currently become research hotspots in the biocomputing field. In computing systems, logical operations and arithmetic operations are the most important parts, while the decoders composed of logical circuits are their indispensable parts. In this paper, considering the characteristics of SN P systems, a computing model for the general single-input single-output n - 2n decoder is proposed. The decoding results of the n-bit input binary sequence can be derived on the MeCoSim platform. The computing steps of a 3-8 decoder and its simulations on the MeCoSim platform are also described in detail. Simulation results show the effectiveness of the proposed computing model for decoders.

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