Spiking neural P systems (SN P systems) are models of computation inspired by biological
spiking neurons. SN P systems have neurons as spike processors, which are placed on the …

Spiking neural P system (SNP system) is a model of computation inspired by the mechanism
of spiking neurons. An SNP system is a directed graph of neurons that can communicate …

Spiking neural P systems are parallel and distributed computation devices which are
inspired by the neuro-physiological behavior of biological neurons. In this paper we will …

Spiking neural P systems with multiple channels (SNP-MC systems, for short) are a kind of
distributed parallel computing devices, inspired by the way that neurons communicate by …

In this paper, we create a matrix representation for spiking neural P systems with structural
plasticity (SNPSP, for short), taking inspiration from existing algorithms and representations …

Two types of cells for bio-inspired computations are neurons and bacteria: the former have
“simple” neurons that connect together to become more useful, ie structure is important to …

In the last few decades membrane computing has established itself as an important branch
of natural computing. Investigating computational power, complexity aspects and real-world …

Dynamic threshold neural P systems (DTNP systems, for short) are a kind of distributed
parallel computing systems abstracted from the spiking and dynamic threshold mechanisms …

Spiking neural P systems with inhibitory rules (in short, IR-SN P systems) are a kind of bio-
inspired computing systems, which are abstracted by the inhibitory synaptic mechanism of …

Dendrite P (DeP) systems are a new variant of neural-like P systems, abstracted by the
information processing and feedback mechanisms of dendrites. In the variant, a global block …