The present work focuses on three notions about spiking neural P systems (SN P systems),
namely normal forms, homogeneous systems, and software tools for easy access and visual …

Spiking neural P (SNP) systems are a class of neural-like membrane computing models that
are abstracted by applying the mechanisms of spiking neurons. In SNP systems, each …

Spiking neural P systems, SN P systems for short, have found various applications over time.
Perhaps the most important application to date is in the area of artificial intelligence where …

Under the active area of membrane computing, Spiking Neural P systems (SN P systems)
are models of computations which take inspirations from biological neurons, eg by the …

Inspired by the dendritic and axonal morphology, some authors modeled the transmission
speed of action potentials through of fixed dendritic and axonal delays, respectively …

Virus machines are unconventional and bio-inspired models of computation based on the
transmission of viruses among hosts. Virus machines are known to be computationally …

Spiking neural P systems with communication on request (SNQP systems) are neurally
inspired computing devices, where a neuron actively seeks spikes from presynaptic neurons …

Several studies have been reported in the literature about SN P system and its variants.
Often, the results provide universality of various variants and the classes of languages that …

Dynamic threshold neural P (DTNP) systems are recently developed neural-like membrane
computing models. By introducing the delay mechanism on synapses, we propose a variant …

We use the functional programming language Haskell to design semantic interpreters for the
spiking neural P systems. Haskell provides an appropriate support for implementing the …