SONG , Tao

Spiking neural P systems (SN P systems, for short) are a class of distributed parallel computing devices inspired from the way neurons communicate by means of spikes. Asynchronous SN P systems are non-synchronized systems, where the use of spik- ing rules (even if they are enabled by the contents of neurons) is not obligatory. In this paper,...

Classical membrane systems with symport/antiport rules observe the con- servation law, in the sense that they compute by changing the places of objects with respect to the membranes, and not by changing the objects themselves. In these systems the environment plays an active role because the systems not only send objects to the environment, but...

Classical membrane systems with symport/antiport rules observe the con- servation law, in the sense that they compute by changing the places of objects with respect to the membranes, and not by changing the objects themselves. In these systems the environment plays an active role because the systems not only send objects to the environment, but...

Inspired by mitosis process and membrane fission processes, cell-like P systems with symport/antiport rules and membrane division rules or membrane separation rules have been introduced, respectively. These computation systems have two key features: the ability to have infinite copies of some objects (within an active environment) and to...

Spiking neural P systems (SN P systems for short) is a developing field within the P systems world. Inspired by the neurophysiological structure of the brain, these systems have been subjected to many extensions in recent years, many of them intended to "somewhat" incorporate more and more features inspired by the functioning of the living...

P systems are a class of distributed and parallel computation models inspired by the structure and the functioning of living cells. P systems have been used to solve computation hard problems, where the execution of each rule is completed in unit time (a global clock is assumed for timing and synchronizing the execution of rules). The...

Spiking neural P (SNP) systems are a class of parallel, distributed, and nondeterministic computing models inspired by the spiking of biological neurons. In this work, the biological feature known as structural plasticity is introduced in the framework of SNP systems. Structural plasticity refers to synapse creation and deletion, thus changing...