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Ponencia
Matrix Representation of Spiking Neural P Systems
(Springer, 2011)
Spiking neural P systems (SN P systems, for short) are a class of distributed parallel computing devices inspired from the way neurons communicate by means of spikes. In this work, a discrete structure representation of ...
Artículo
Computation of Ramsey Numbers by P Systems with Active Membranes
(World Scientific, 2011)
Ramsey numbers deal with conditions when a combinatorial object necessarily contains some smaller given objects. It is well known that it is very difficult to obtain the values of Ramsey numbers. In this work, a theoretical ...
Ponencia
On Efficiency of P Systems with Symport/Antiport and Membrane Division
(Fenix Editora, 2017)
Classical membrane systems with symport/antiport rules observe the con- servation law, in the sense that they compute by changing the places of objects with respect to the membranes, and not by changing the objects ...
Artículo
Small universal simple spiking neural P systems with weights
(Springer, 2014)
Spiking neural P systems with weights (WSN P systems, for short) are a new variant of spiking neural P systems, where the rules of a neuron are enabled when the potential of that neuron equals a given value. It is known ...
Ponencia
A Uniform Solution to Common Algorithmic Problem by Tissue P Systems with Cell Division
(IEEE Computer Society, 2011)
Common algorithmic problem is an optimization problem, which has the nice property that several other NP-complete problems can be reduced to it in linear time. A tissue P system with cell division is a computing model which ...
Artículo
Modeling Logic Gene Networks by Means of Probabilistic Dynamic P Systems
(Old City Publishing, 2013)
Gene regulatory networks are useful models for biologists to understand the interactions among genes in living organisms. In this work, we consider a special class of gene regulatory networks, called logical networks, ...
Artículo
Solving Common Algorithmic Problem by Recognizer Tissue P Systems
(Romanian Academy, 2012)
Common Algorithmic Problem is an optimization problem, which has the nice property that several other NP-complete problems can be reduced to it in linear time. In this work, we deal with its decision version in the ...
Artículo
Spiking Neural P systems with weights
(MIT Press, 2010)
A variant of spiking neural P systems with positive or negative weights on synapses is introduced, where the rules of a neuron fire when the potential of that neuron equals a given value. The involved values—weights, firing ...
Ponencia
Extending SNP Systems Asynchronous Simulation Modes in P-Lingua
(Fénix Editora, 2014)
Spiking neural P systems (SN P systems for short) is a developing field within the P systems world. Inspired by the neurophysiological structure of the brain, these systems have been subjected to many extensions in recent ...
Ponencia
Linear Time Solution to Prime Factorization by Tissue P Systems with Cell Division
(Fénix Editora, 2011)
Prime factorization is useful and crucial for public-key cryptography, and its application in public-key cryptography is possible only because prime factorization has been presumed to be difficult. A polynomial-time ...