Small universal register machines
Theoretical Computer Science - Special issue on universal machines and computations
Pulsed neural networks
Handbook of Formal Languages
Membrane Computing: An Introduction
Membrane Computing: An Introduction
Spiking Neuron Models: An Introduction
Spiking Neuron Models: An Introduction
Computation: finite and infinite machines
Computation: finite and infinite machines
Fundamenta Informaticae
Smaller Universal Spiking Neural P Systems
Fundamenta Informaticae
A tunable holistic resiliency approach for high-performance computing systems
Proceedings of the 14th ACM SIGPLAN symposium on Principles and practice of parallel programming
On the Hopcroft's minimization technique for DFA and DFCA
Theoretical Computer Science
Sequential SNP systems based on min/max spike number
Theoretical Computer Science
Sequentiality Induced by Spike Number in SNP Systems
DNA Computing
On the computational complexity of spiking neural P systems
Natural Computing: an international journal
On spiking neural p systems and partially blind counter machines
UC'06 Proceedings of the 5th international conference on Unconventional Computation
Spiking neural P systems with rules on synapses
Theoretical Computer Science
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In this paper we consider sequential SNP systems where the sequentiality of the system is induced by the max-spike: the neuron with the maximum number of spikes out of the neurons that can spike at one step will fire. This corresponds to a global view of the whole network that makes the system sequential. We continue the study in the direction of max-spike and show that systems with 132 neurons are universal. This improves a recent result in the area.