Add to ORKGIn order to enhance the e±ciency of spiking neural P systems, we introduce the features of neuron division and neuron budding, which are processes inspired by neural stem cell division. As expected (as it is the case for P systems with active membranes), in this way we get the possibility to solve computationally hard problems in polynomial time. We illustrate this possibility with SAT problem.Junta de Andalucía P08 – TIC 0420
Spiking neural P systems (in short, SNP systems) are parallel, distributed, and nondeterministic co...
A variant of spiking neural P systems with positive or negative weights on synapses is introduced, w...
Spiking neural P systems (SN P systems, for short) are much investigated in the last years in membr...
Spiking neural P systems are a new candidate in spiking neural network models. By using neuron divis...
In this paper we study some computational properties of spiking neural P systems. In particular, we...
Tissue-like P systems with cell division is a computing model in the framework of Membrane Computin...
Recently we have considered the possibility of using spiking neural P systems for solving computati...
We continue the investigations concerning the possibility of using spiking neural P systems as a fr...
Spiking neural P systems with structural plasticity (in short, SNPSP systems) are models of computa...
Spiking neural P systems were recently introduced in and proved to be Turing complete as number com...
Starting from an extended nondeterministic spiking neural P system that solves the Subset Sum proble...
Membrane systems (also called P systems) refer to the computing models abstracted from the structure...
Spiking neural P systems (SN P systems, for short) are a class of distributed and parallel computin...
Membrane systems (also called P systems) refer to the computing models abstracted from the structure...
Spiking neural P (SNP) systems are a class of parallel, distributed, and nondeterministic computing...
Spiking neural P systems (in short, SNP systems) are parallel, distributed, and nondeterministic co...
A variant of spiking neural P systems with positive or negative weights on synapses is introduced, w...
Spiking neural P systems (SN P systems, for short) are much investigated in the last years in membr...
Spiking neural P systems are a new candidate in spiking neural network models. By using neuron divis...
In this paper we study some computational properties of spiking neural P systems. In particular, we...
Tissue-like P systems with cell division is a computing model in the framework of Membrane Computin...
Recently we have considered the possibility of using spiking neural P systems for solving computati...
We continue the investigations concerning the possibility of using spiking neural P systems as a fr...
Spiking neural P systems with structural plasticity (in short, SNPSP systems) are models of computa...
Spiking neural P systems were recently introduced in and proved to be Turing complete as number com...
Starting from an extended nondeterministic spiking neural P system that solves the Subset Sum proble...
Membrane systems (also called P systems) refer to the computing models abstracted from the structure...
Spiking neural P systems (SN P systems, for short) are a class of distributed and parallel computin...
Membrane systems (also called P systems) refer to the computing models abstracted from the structure...
Spiking neural P (SNP) systems are a class of parallel, distributed, and nondeterministic computing...
Spiking neural P systems (in short, SNP systems) are parallel, distributed, and nondeterministic co...
A variant of spiking neural P systems with positive or negative weights on synapses is introduced, w...
Spiking neural P systems (SN P systems, for short) are much investigated in the last years in membr...