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政大機構典藏 > 商學院 > 資訊管理學系 > 期刊論文 > Item 140.119/68334

Please use this identifier to cite or link to this item: https://nccur.lib.nccu.edu.tw/handle/140.119/68334

Title:	On Spiking Neural P Systems and Partially Blind Counter Machines
Authors:	Oscar H. Ibarra;Sara Woodworth;郁方;Andri Paun
Contributors:	資管系
Keywords:	Spiking neural P system;Sequential mode;Partially blind counter machine
Date:	2008-03
Issue Date:	2014-08-06 14:07:51 (UTC+8)
Abstract:	A k-output spiking neural P system (SNP) with output neurons, O 1, ..., O k , generates a tuple (n 1, ..., n k ) of positive integers if, starting from the initial configuration, there is a sequence of steps such that during the computation, each O i generates exactly two spikes a a (the times the pair a a are generated may be different for different output neurons) and the time interval between the first a and the second a is n i . After the output neurons generate their pairs of spikes, the system eventually halts. We give characterizations of sets definable by partially blind multicounter machines in terms of k-output SNPs operating in a sequential mode. Slight variations of the models make them universal.
Relation:	Natural Computing, 7(1), 3-19 Unconventional Computation Lecture Notes in Computer Science Volume 4135, 2006, pp 113-129
Data Type:	article
Appears in Collections:	[資訊管理學系] 期刊論文

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