Handbook of formal languages, vol. 3: beyond words
Handbook of formal languages, vol. 3: beyond words
Pulsed neural networks
Journal of Computer and System Sciences
Turing's connectionism: an investigation of neural network architectures
Turing's connectionism: an investigation of neural network architectures
Membrane Computing: An Introduction
Membrane Computing: An Introduction
Spiking Neuron Models: An Introduction
Spiking Neuron Models: An Introduction
Designing DBMS support for the temporal dimension
SIGMOD '84 Proceedings of the 1984 ACM SIGMOD international conference on Management of data
A New Class of Symbolic Abstract Neural Nets: Tissue P Systems
COCOON '02 Proceedings of the 8th Annual International Conference on Computing and Combinatorics
Computation: finite and infinite machines
Computation: finite and infinite machines
On symport/antiport p systems and semilinear sets
WMC'05 Proceedings of the 6th international conference on Membrane Computing
Extended spiking neural P systems with excitatory and inhibitory astrocytes
EC'07 Proceedings of the 8th Conference on 8th WSEAS International Conference on Evolutionary Computing - Volume 8
Homogeneous Spiking Neural P Systems
Fundamenta Informaticae
Regular ω-Languages Defined by Finite Extended Spiking Neural P Systems
Fundamenta Informaticae
Implementing Sorting Networks with Spiking Neural P Systems
Fundamenta Informaticae
Solving SUBSET SUM by Spiking Neural P Systems with Pre-computed Resources
Fundamenta Informaticae
Smaller Universal Spiking Neural P Systems
Fundamenta Informaticae
On String Languages Generated by Spiking Neural P Systems
Fundamenta Informaticae - New Frontiers in Scientific Discovery - Commemorating the Life and Work of Zdzislaw Pawlak
Asynchronous spiking neural P systems with local synchronization
Information Sciences: an International Journal
Spiking neural p systems: some characterizations
FCT'07 Proceedings of the 16th international conference on Fundamentals of Computation Theory
(Tissue) p systems with decaying objects
CMC'12 Proceedings of the 13th international conference on Membrane Computing
On structures and behaviors of spiking neural p systems and petri nets
CMC'12 Proceedings of the 13th international conference on Membrane Computing
Spiking neural p systems with functional astrocytes
CMC'12 Proceedings of the 13th international conference on Membrane Computing
Solving directed hamilton path problem in parallel by improved SN p system
ICPCA/SWS'12 Proceedings of the 2012 international conference on Pervasive Computing and the Networked World
Fuzzy reasoning spiking neural P system for fault diagnosis
Information Sciences: an International Journal
Online learning in a chemical perceptron
Artificial Life
International Journal of Computing Science and Mathematics
Reversible spiking neural P systems
Frontiers of Computer Science: Selected Publications from Chinese Universities
Universality of sequential spiking neural P systems based on minimum spike number
Theoretical Computer Science
A survey of the satisfiability-problems solving algorithms
International Journal of Advanced Intelligence Paradigms
Bridging Membrane and Reaction Systems --Further Results and Research Topics
Fundamenta Informaticae - To Andrzej Skowron on His 70th Birthday
A novel image thresholding method based on membrane computing and fuzzy entropy
Journal of Intelligent & Fuzzy Systems: Applications in Engineering and Technology - Computational intelligence models for image processing and information reasoning
Time-free solution to SAT problem using P systems with active membranes
Theoretical Computer Science
Spiking neural P systems with rules on synapses
Theoretical Computer Science
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This paper proposes a way to incorporate the idea of spiking neurons into the area of membrane computing, and to this aim we introduce a class of neural-like P systems which we call spiking neural P systems (in short, SN P systems). In these devices, the time (when the neurons fire and/or spike) plays an essential role. For instance, the result of a computation is the time between the moments when a specified neuron spikes. Seen as number computing devices, SN P systems are shown to be computationally complete (both in the generating and accepting modes, in the latter case also when restricting to deterministic systems). If the number of spikes present in the system is bounded, then the power of SN P systems falls drastically, and we get a characterization of semilinear sets. A series of research topics and open problems are formulated.