An overview of hardware implementation of membrane computing models
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 …
inspired large-scale parallel computing paradigm having a good potential for the design of …
A bibliometric analysis of membrane computing (1998–2019)
H Rong, Y Duan, G Zhang - Journal of Membrane Computing, 2022 - Springer
Membrane computing as a topic in the Mathematics Subjects Classification 2020 by
Mathematical Reviews and zbMATH is a sign of maturity of this research area initiated in the …
Mathematical Reviews and zbMATH is a sign of maturity of this research area initiated in the …
Spiking neural P systems with inhibitory rules
Motivated by the mechanism of inhibitory synapses, a new kind of spiking neural P (SNP)
system rules, called inhibitory rules, is introduced in this paper. Based on this, a new variant …
system rules, called inhibitory rules, is introduced in this paper. Based on this, a new variant …
Coupled neural P systems
H Peng, J Wang - IEEE Transactions on Neural Networks and …, 2018 - ieeexplore.ieee.org
Inspired by Eckhorn's neuron model that emulates a mammal's visual cortex, this paper
proposes a new kind of neural-like P system, called a coupled neural P (CNP) system. The …
proposes a new kind of neural-like P system, called a coupled neural P (CNP) system. The …
Nonlinear spiking neural P systems
This paper proposes a new variant of spiking neural P systems (in short, SNP systems),
nonlinear spiking neural P systems (in short, NSNP systems). In NSNP systems, the state of …
nonlinear spiking neural P systems (in short, NSNP systems). In NSNP systems, the state of …
Dendrite P systems
H Peng, T Bao, X Luo, J Wang, X Song… - Neural Networks, 2020 - Elsevier
It was recently found that dendrites are not just a passive channel. They can perform mixed
computation of analog and digital signals, and therefore can be abstracted as information …
computation of analog and digital signals, and therefore can be abstracted as information …
Membrane computing.
G Paun, G Rozenberg, A Salomaa, C Zandron - FCT, 2003 - Springer
The present volume contains a selection of papers presented at the Seventh Workshop on
Membrane Computing, WMC7, which took place in Leiden, The Netherlands, during July 17 …
Membrane Computing, WMC7, which took place in Leiden, The Netherlands, during July 17 …
Comparison of pandemic intervention policies in several building types using heterogeneous population model
T Lazebnik, A Alexi - Communications in Nonlinear Science and Numerical …, 2022 - Elsevier
In a world where pandemics are a matter of time and increasing urbanization of the world's
population, governments should be prepared with pandemic intervention policies (IPs) to …
population, governments should be prepared with pandemic intervention policies (IPs) to …
A quick introduction to membrane computing
G Păun - The Journal of Logic and Algebraic Programming, 2010 - Elsevier
Membrane computing is a branch of natural computing inspired from the architecture and
the functioning of biological cells. The obtained computing models are distributed parallel …
the functioning of biological cells. The obtained computing models are distributed parallel …
A review of computing models for studying population dynamics of giant panda ecosystems
Y Duan, H Rong, G Zhang, S Gorbachev, D Qi… - Ecological …, 2024 - Elsevier
Computing models are a good and effective way to study population dynamics of
endangered species like giant pandas. Until now, a variety of computing models were …
endangered species like giant pandas. Until now, a variety of computing models were …