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Spiking Neural P Systems with Addition/Subtraction Computing on Synapses

 

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Opened Access Spiking Neural P Systems with Addition/Subtraction Computing on Synapses
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Author: Jiang, Yun
Chen, Zhiqiang
Date: 2018
Published in: BWMC 2018: Sixteenth Brainstorming Week on Membrane Computing (2018), p 97-108
Document type: Presentation
Abstract: Spiking neural P systems (SN P systems, for short) are a class of distributed and parallel computing models inspired from biological spiking neurons. In this paper, we introduce a variant called SN P systems with addition/subtraction computing on synapses (CSSN P systems). CSSN P systems are inspired and motivated by the shunting inhibition of biological synapses, while incorporating ideas from dynamic graphs and networks. We consider addition and subtraction operations on synapses, and prove that CSSN P systems are computationally universal as number generators, under a normal form (i.e. a simplifying set of restrictions).
Cite: Jiang, Y. y Chen, Z. (2018). Spiking Neural P Systems with Addition/Subtraction Computing on Synapses. En BWMC 2018: Sixteenth Brainstorming Week on Membrane Computing (97-108), Sevilla, España: Universidad de Sevilla, Escuela Técnica Superior de Ingeniería Informática.
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URI: https://hdl.handle.net/11441/83942

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