Small universal register machines
Theoretical Computer Science - Special issue on universal machines and computations
Journal of Computer and System Sciences
Networks of language processors
Current trends in theoretical computer science
Handbook of Formal Languages
Membrane Computing: An Introduction
Membrane Computing: An Introduction
Computationally universal P systems without priorities: two catalysts are sufficient
Theoretical Computer Science - Descriptional complexity of formal systems
Tissue P systems with channel states
Theoretical Computer Science - Insightful theory
Fundamenta Informaticae
P systems with minimal parallelism
Theoretical Computer Science
A formal framework for static (tissue) P systems
WMC'07 Proceedings of the 8th international conference on Membrane computing
Extended spiking neural p systems
WMC'06 Proceedings of the 7th international conference on Membrane Computing
Transition and halting modes in (tissue) p systems
WMC'09 Proceedings of the 10th international conference on Membrane Computing
(Tissue) p systems with decaying objects
CMC'12 Proceedings of the 13th international conference on Membrane Computing
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We investigate variants of the maximally and the minimally parallel transition mode, i.e., we allow only a bounded number of rules to be taken from every set of the partitioning of the whole set of rules. The 1-restricted minimally parallel transition mode especially fits to describe the way transitions take place in spiking neural P systems without delays, i.e., in every neuron where a rule is applicable exactly one rule has to be applied. Moreover, purely catalytic P systems working in the maximally parallel transition mode can be described as P systems using the corresponding rules without catalysts, i.e., noncooperative rules, when working in the 1-restricted minimally parallel transition mode. In contrast to these results for computationally complete models of P systems, with the k-restricted maximally parallel transition mode noncooperative rules only allow for the generation of semi-linear sets.