@article {580,
	title = {Spiking neural P systems with anti-spikes},
	journal = {International Journal of Computers, Communications and Control},
	volume = {IV},
	year = {2009},
	month = {09/2009},
	pages = {273-282},
	publisher = {Agora University Editing House - CCC Publications},
	address = {Oradea, Romania},
	abstract = {Besides usual spikes employed in spiking neural P systems, we consider "anti-spikes", which participate in spiking and forgetting rules, but also annihilate spikes when meeting in the same neuron.This simple extension of spiking neural P systems is shown to considerably simplify the universality proofs in this area: all rules become of the form bc  \rightarrow b{\textquoteright} or bc \rightarrow lambda, where b,b{\textquoteright}  are spikes or anti-spikes. Therefore, the regular expressions which control the spiking are the simplest possible, identifying only a singleton. A possible variation is not to produce anti-spikes in neurons, but to consider some {\textquoteleft}{\textquoteleft}inhibitory synapses", which transform the spikes which pass along them into anti-spikes. Also in this case, universality is rather easy to obtain, with rules of the above simple forms.},
	keywords = {Computability, Membrane computing, P system, Spiking neural P system},
	issn = {1841-9836},
	url = {http://www.journal.univagora.ro/?page=article_details\&id=372},
	author = {Linqiang Pan and Gheorghe Paun}
}
