Spiking neural P systems with anti-spikes working in sequential mode induced by maximum spike number
作者： Keqin Jiang , Linqiang Pan
DOI: 10.1016/J.NEUCOM.2015.07.100
关键词:
摘要: Spiking neural P systems (SN systems, for short) are a class of distributed parallel computing devices inspired by spiking neurons. SN with anti-spikes (ASN systems) variant which were inhibitory impulses/spikes or synapses. In this work, we consider ASN the restrictions: (1) simple in sense that each neuron has only one rule; (2) at step neuron(s) maximum number spikes among neurons active (can spike) will fire; (3) feature delays and forgetting rules not used. These restrictions make working sequential way. We investigate computational power under these restrictions. Specifically, prove such categories ( , ) ? universal as both generating accepting devices. also synapses using category results show still powerful
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