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On Spiking Neural P Systems and Partially Blind Counter Machines

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Unconventional Computation (UC 2006)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4135))

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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.

The research of O. H. Ibarra and S. Woodworth was supported in part by NSF Grants CCF-0430945 and CCF-0524136. The research of A. Păun was supported in part by NSF Grant CCF-0523572.

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© 2006 Springer-Verlag Berlin Heidelberg

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Ibarra, O.H., Woodworth, S., Yu, F., Păun, A. (2006). On Spiking Neural P Systems and Partially Blind Counter Machines. In: Calude, C.S., Dinneen, M.J., Păun, G., Rozenberg, G., Stepney, S. (eds) Unconventional Computation. UC 2006. Lecture Notes in Computer Science, vol 4135. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11839132_10

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  • DOI: https://doi.org/10.1007/11839132_10

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-38593-6

  • Online ISBN: 978-3-540-38594-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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