We extend to spiking neural P systems a notion investigated in the “stan- dard” membrane systems: the language of the traces of a distinguished object. In our case, we distinguish a spike by “marking” it and we follow its path through the neurons of the system, thus obtaining a language. Several examples are discussed and some preliminary results about this way of associating a language with a spiking neural P system are given, together with a series of topics for further research. For instance, we show that each regular language is the morphic image of a trace language intersected with a very particular regular language, while each recursively enumerable language over the one-letter alphabet is the projection of a trace language
Spiking neural P systems are a class of P systems inspired from the way the neurons communicate wit...
Spiking neural P systems (SN P systems, for short) are much investigated in the last years in membr...
Abstract. We consider extended variants of spiking neural P systems and show how these extensions of...
We continue the study of spiking neural P systems by considering these computing devices as binary ...
We consider spiking neural P systems with spiking rules allowed to introduce zero, one, or more spi...
We consider spiking neural P systems with spiking rules allowed to introduce zero, one, or more spi...
We consider spiking neural P systems with rules allowed to introduce zero, one, or more spikes at t...
AbstractIn this paper, we investigate the languages generated by asynchronous spiking neural P syste...
Languages appeared from the very beginning in membrane computing, by their length sets or directly a...
Languages appeared from the very beginning in membrane computing, by their length sets or directly ...
A sequence of papers have been recently published, pointing out various intractable problems which ...
We bring together two topics recently introduced in membrane computing, the much investigated spiki...
AbstractThe spiking neural P systems are a class of computing devices recently introduced as a bridg...
With a motivation related to gene expression, where enzymes act in series, somewhat similar to the t...
AbstractSpiking neural P systems (in short, SN P systems) are computing devices based on the way the...
Spiking neural P systems are a class of P systems inspired from the way the neurons communicate wit...
Spiking neural P systems (SN P systems, for short) are much investigated in the last years in membr...
Abstract. We consider extended variants of spiking neural P systems and show how these extensions of...
We continue the study of spiking neural P systems by considering these computing devices as binary ...
We consider spiking neural P systems with spiking rules allowed to introduce zero, one, or more spi...
We consider spiking neural P systems with spiking rules allowed to introduce zero, one, or more spi...
We consider spiking neural P systems with rules allowed to introduce zero, one, or more spikes at t...
AbstractIn this paper, we investigate the languages generated by asynchronous spiking neural P syste...
Languages appeared from the very beginning in membrane computing, by their length sets or directly a...
Languages appeared from the very beginning in membrane computing, by their length sets or directly ...
A sequence of papers have been recently published, pointing out various intractable problems which ...
We bring together two topics recently introduced in membrane computing, the much investigated spiki...
AbstractThe spiking neural P systems are a class of computing devices recently introduced as a bridg...
With a motivation related to gene expression, where enzymes act in series, somewhat similar to the t...
AbstractSpiking neural P systems (in short, SN P systems) are computing devices based on the way the...
Spiking neural P systems are a class of P systems inspired from the way the neurons communicate wit...
Spiking neural P systems (SN P systems, for short) are much investigated in the last years in membr...
Abstract. We consider extended variants of spiking neural P systems and show how these extensions of...