@article {778,
	title = {Spiking neural P systems with neuron division and budding},
	journal = {Science China. Information Sciences},
	volume = {8},
	year = {2011},
	month = {08/2011},
	pages = {1596-1607},
	publisher = {Springer},
	edition = {54},
	address = {Beijing, China},
	abstract = {Spiking neural P systems are a class of distributed and parallel computing models inspired by spiking neurons. In this work, the features of neuron division and neuron budding are introduced into the framework of spiking neural P systems, which are processes inspired by neural stem cell division. With neuron division and neuron budding, a spiking neural P system can generate exponential work space in polynomial time as the case for P systems with active membranes. In this way, spiking neural P systems can efficiently solve computationally hard problems by means of a space-time tradeoff, which is illustrated with an efficient solution to SAT problem. },
	keywords = {Membrane computing, Natural computing, neuron division, Spiking neural P system},
	issn = {1674-733X},
	doi = {10.1007/s11432-011-4303-y},
	url = {http://www.springerlink.com/content/h583132743t72273/},
	author = {Linqiang Pan and Gheorghe Paun and Mario J. P{\'e}rez-Jim{\'e}nez}
}
