The model of membrane computing, also known under the name of P systems, is a bio-
inspired large-scale parallel computing paradigm having a good potential for the design of …

Magnetic Resonance Imaging (MRI) is an important diagnostic technique for brain tumors
due to its ability to generate images without tissue damage or skull artifacts. Therefore, MRI …

The existing edge detection methods can often encounter several common shortcomings:
discontinuous edges, weak edges, easy to be affected by noise, and difficulty in setting …

Asynchronous spiking neural P (AsynSN P) systems are a class of distributed and parallel
computational models working in a non-synchronized mode, inspired by the mechanism of …

Molecular computing and bioinformatics are two important interdisciplinary sciences that
study molecules and computers. Molecular computing is a branch of computing that uses …

Taking neuron-associated polarizations as the firing condition of neuron rules, the concept
of polarization is applied to spiking neural P systems (SN P systems), which is adopted to …

Spiking neural P systems (SN P systems for short) realize the high abstraction and
simulation of the working mechanism of the human brain, and adopts spikes for information …

Spiking neural membrane systems (SN P systems) are a class of bio-inspired models
inspired by the activities and connectivity of neurons. Extensive studies have been made on …

A reaction system is a modeling framework for investigating the functioning of the living cell,
focused on capturing cause–effect relationships in biochemical environments. Biochemical …

A new kind of self-assembly model, morphogenetic (M) systems, assembles spatial units into
larger structures through local interactions of simpler components and enables discovery of …