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Ponencia
Hebbian learning from spiking neural P systems view
(Springer, 2009)
Spiking neural P systems and artificial neural networks are computational devices which share a biological inspiration based on the flow of information among neurons. In this paper we present a first model for Hebbian ...
Ponencia
Solving the N-Queens Puzzle with P Systems
(Fénix Editora, 2009)
The N-queens puzzle consists on placing N queens on an N x Ngrid in such way that no two queens are on the same row, column or diagonal line. In this paper we present a family of P systems with active membranes (one P ...
Artículo
Time-free solution to SAT problem using P systems with active membranes
(Elsevier, 2014)
P systems are a class of distributed and parallel computation models inspired by the structure and the functioning of living cells. P systems have been used to solve computation hard problems, where the execution of each ...
Artículo
An optimization Spiking Neural P system for approximately solving combinatorial optimization problems
(World Scientific, 2014)
Membrane systems (also called P systems) refer to the computing models abstracted from the structure and the functioning of the living cell as well as from the cooperation of cells in tissues, organs, and other populations ...
Artículo
Membrane Fission: A Computational Complexity Perspective
(Wiley, 2016)
Membrane fission is a process by which a biological membrane is split into two new ones in the manner that the content of the initial membrane is separated and distributed between the new membranes. Inspired by this biological ...
Ponencia
Spiking Neural P Systems with Extended Rules
(Fénix Editora, 2006)
We consider spiking neural P systems with spiking rules allowed to introduce zero, one, or more spikes at the same time. The computing power of the obtained systems is investigated, when considering them as number ...
Artículo
Tissue P Systems With Channel States Working in the Flat Maximally Parallel Way
(IEEE Computer Society, 2016)
issue P systems with channel states are a class of bio-inspired parallel computational models, where rules are used in a sequential manner (on each channel, at most one rule can be used at each step). In this work, tissue ...
Ponencia
Computational Complexity Theory in Membrane Computing: Seventeen Years After
(IMCS: International Membrane Computing Society, 2019)
In this work we revisit the basic concepts, definitions of computational complexity theory in membrane computing. The paper also discusses a novel methodology to tackle the P versus NP problem in the context of the ...
Artículo
Dendrite P Systems Toolbox: Representation, Algorithms and Simulators
(World Scientific, 2021)
Dendrite P systems (DeP systems) are a recently introduced neural-like model of computation. They provide an alternative to the more classical spiking neural (SN) P systems. In this paper, we present the first software ...
Ponencia
Towards Bridging Two Cell-Inspired Models: P Systems and R Systems
(Fénix Editora, 2011)
We examine, from the point of view of membrane computing, the two basic assumptions of reaction systems, the "threshold" and "no permanence" ones. In certain circumstances (e.g., defining the successful computations by ...