LSTM-SNP model is a recently developed long short-term memory (LSTM) network, which is
inspired from the mechanisms of spiking neural P (SNP) systems. In this paper, LSTM-SNP …

Gated spiking neural P (GSNP) model is a recently developed recurrent-like network, which
is abstracted by nonlinear spiking mechanism of nonlinear spiking neural P systems. In this …

Nonlinear spiking neural P (NSNP) systems are a class of neural-like computational models
inspired from the nonlinear mechanism of spiking neurons. NSNP systems have a …

Nonlinear spiking neural P (NSNP) systems are one of neural-like membrane computing
models, abstracted by nonlinear spiking mechanisms of biological neurons. NSNP systems …

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 …

Nonlinear spiking neural P (NSNP) systems are distributed parallel neural-like computing
models that abstract the nonlinear spiking mechanisms of biological neurons. Echo state …

Nonlinear spiking neural P (NSNP) systems are neural-like membrane computing models
with nonlinear spiking mechanisms. Because of this nonlinear spiking mechanism, NSNP …

An optimization spiking neural P (OSN P) system is a discrete optimization model without the
aid of evolutionary operators of evolutionary algorithms or swarm intelligence algorithms …

As a member of the third generation of artificial neural network models, spiking neural P
systems (SN P systems) have gained a hot research spot in recent years. This work …

Abstract Spiking Neural P (SN P) systems are membrane computing systems that are
abstracted from the behavior of spiking neurons, or brain cells. These systems take …