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Computing k-block Morphisms by Spiking Neural P Systems

Nishida T.Y.

Fundamenta Informaticae

2011

Vol. 111, nr 4

453-464

In this paper we show that for every k-block morphism (k ≥ 2) there is a spiking neural P system which computes the morphism. This result generalises the result explored by G. Paun, M. Perez-Jimenez, and G. Rozenberg. We give an algorithm which constructs the spiking neural P system, that is, if a k-block morphism is given as an input, the algorithm makes rules of the spiking neural P system which computes the morphism.

Simulations of Photosynthesis by a K-Subset Transforming System with Membrane

Nishida T.Y.

Fundamenta Informaticae

2002

Vol. 49, nr 1-3

249-259

By considering the inner regions of living cells' membranes, P systems with inner regions are introduced. Then, a new type of membrane computing systems are considered, called K-subset transforming systems with membranes, which can treat nonintegral multiplicities of objects. As an application, a K-subset transforming system is proposed in order to model the light reactions of the photosynthesis. The behaviour of such systems is simulated on a computer.