An attention-aware long short-term memory-like spiking neural model for sentiment analysis

Q Liu, Y Huang, Q Yang, H Peng… - International journal of …, 2023 - World Scientific
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 …

Attention-enabled gated spiking neural P model for aspect-level sentiment classification

Y Huang, H Peng, Q Liu, Q Yang, J Wang… - Neural Networks, 2023 - Elsevier
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 …

Edge detection method based on nonlinear spiking neural systems

R Xian, R Lugu, H Peng, Q Yang, X Luo… - International journal of …, 2023 - World Scientific
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 …

A prediction model based on gated nonlinear spiking neural systems

Y Zhang, Q Yang, Z Liu, H Peng… - International journal of …, 2023 - World Scientific
Nonlinear spiking neural P (NSNP) systems are one of neural-like membrane computing
models, abstracted by nonlinear spiking mechanisms of biological neurons. NSNP systems …

LSTM-SNP: A long short-term memory model inspired from spiking neural P systems

Q Liu, L Long, Q Yang, H Peng, J Wang… - Knowledge-Based Systems, 2022 - Elsevier
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 …

Echo spiking neural P systems

L Long, R Lugu, X Xiong, Q Liu, H Peng, J Wang… - Knowledge-Based …, 2022 - Elsevier
Nonlinear spiking neural P (NSNP) systems are distributed parallel neural-like computing
models that abstract the nonlinear spiking mechanisms of biological neurons. Echo state …

Reservoir computing models based on spiking neural P systems for time series classification

H Peng, X Xiong, M Wu, J Wang, Q Yang… - Neural Networks, 2024 - Elsevier
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 numerical spiking neural P system for solving constrained optimization problems

J Dong, G Zhang, B Luo, H Rong - Information Sciences, 2023 - Elsevier
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 …

Spiking neural P systems with lateral inhibition

Y Liu, Y Zhao - Neural Networks, 2023 - Elsevier
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 …

Normal forms for spiking neural P systems and some of its variants

ICH Macababayao, FGC Cabarle, RTA de la Cruz… - Information …, 2022 - Elsevier
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 …