title: On the Universality and Non-Universality of Spiking Neural P Systems With Rules on Synapses.
abstract: Spiking neural P systems with rules on synapses are a new variant of spiking neural P systems. In the systems, the neuron contains only spikes, while the spiking/forgetting rules are moved on the synapses. It was obtained that such system with 30 neurons (using extended spiking rules) or with 39 neurons (using standard spiking rules) is Turing universal. In this work, this number is improved to 6. Specifically, we construct a Turing universal spiking neural P system with rules on synapses having 6 neurons, which can generate any set of Turing computable natural numbers. As well, it is obtained that spiking neural P system with rules on synapses having less than two neurons are not Turing universal: i) such systems having one neuron can characterize the family of finite sets of natural numbers; ii) the family of sets of numbers generated by the systems having two neurons is included in the family of semi-linear sets of natural numbers.
authors.forename: Tao
authors.initials: T
authors.lastname: Song
authors.forename: Jinbang
authors.initials: J
authors.lastname: Xu
authors.forename: Linqiang
authors.initials: L
authors.lastname: Pan
mesh_terms: D000200:Action Potentials / Q000502:physiology*; D039301:Computers, Molecular; D006801:Humans; D008959:Models, Neurological; D016571:Neural Networks, Computer; D013569:Synapses / Q000502:physiology*