Spiking neural P systems (SN P systems, for short) constitute a class of computing models in the research eld of membrane computing. Inspired by the interactions among neurons in the brain, they have attracted much attention since their appearance in 2006. Many variants have emerged, presenting a graph-based structure, and several software simulators were developed for them. Recently, a di erent approach was proposed by introducing cell-like spiking neural P systems. Unlike previous SN P systems, this new model includes a tree-based structure, taking elements from traditional rewriting rules in the original P systems. In this work, a software tool within the framework of P-Lingua and MeCoSim is presented. This software may play an...
Spiking neural P systems are a class of distributed and parallel computing models inspired by the ne...
After a quick introduction of spiking neural P systems (a class of P systems inspired from the way ...
Membrane systems (also called P systems) refer to the computing models abstracted from the structure...
Software simulators for P system are nowadays the main tool to carry out experiments in the eld of...
Spiking Neural P Systems (SN P Systems, for short) is a developing field within the universe of P S...
The research within the field of Spiking Neural P systems (SN P systems, for short) is focusing mai...
YesSpiking Neural (SN) P systems is a particular class of P systems that abstracts and applies ideas...
We present in this paper our work regarding simulating a type of P sys- tem known as a spiking neur...
Membrane Computing, introduced by Gh. Paun at the end of 1998, is a relatively young branch of Natur...
The formal verification of a Spiking Neural P System (SN P Systems, for short) designed for solving...
Summary. We present in this paper our work regarding simulating a type of P sys-tem known as a spiki...
Spiking neural P systems (SN P systems, for short) are much investigated in the last years in membr...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
Spiking neural P systems (SN P systems, for short) are a class of distributed parallel computing de...
Spiking Neural P (SNP) systems, variants of Psystems (under Membrane and Natural computing), are com...
Spiking neural P systems are a class of distributed and parallel computing models inspired by the ne...
After a quick introduction of spiking neural P systems (a class of P systems inspired from the way ...
Membrane systems (also called P systems) refer to the computing models abstracted from the structure...
Software simulators for P system are nowadays the main tool to carry out experiments in the eld of...
Spiking Neural P Systems (SN P Systems, for short) is a developing field within the universe of P S...
The research within the field of Spiking Neural P systems (SN P systems, for short) is focusing mai...
YesSpiking Neural (SN) P systems is a particular class of P systems that abstracts and applies ideas...
We present in this paper our work regarding simulating a type of P sys- tem known as a spiking neur...
Membrane Computing, introduced by Gh. Paun at the end of 1998, is a relatively young branch of Natur...
The formal verification of a Spiking Neural P System (SN P Systems, for short) designed for solving...
Summary. We present in this paper our work regarding simulating a type of P sys-tem known as a spiki...
Spiking neural P systems (SN P systems, for short) are much investigated in the last years in membr...
The file attached to this record is the author's final peer reviewed version. The Publisher's final ...
Spiking neural P systems (SN P systems, for short) are a class of distributed parallel computing de...
Spiking Neural P (SNP) systems, variants of Psystems (under Membrane and Natural computing), are com...
Spiking neural P systems are a class of distributed and parallel computing models inspired by the ne...
After a quick introduction of spiking neural P systems (a class of P systems inspired from the way ...
Membrane systems (also called P systems) refer to the computing models abstracted from the structure...