Dynamic threshold P systems with delay on synapses for shortest path problems

DOI10.1016/j.tcs.2022.06.008OpenAlexW4281660912WikidataQ114175418 ScholiaQ114175418MaRDI QIDQ2152438

Yanyan Li

Publication date: 8 July 2022

Published in: Theoretical Computer Science (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.tcs.2022.06.008

zbMATH Keywords

spiking neural P systemsshortest path problemsdynamic threshold neural P systemsdynamic threshold neural P systems with delay on synapses

Mathematics Subject Classification ID

Biologically inspired models of computation (DNA computing, membrane computing, etc.) (68Q07)

Related Items (1)

Spiking neural P systems with weights and delays on synapses

Cites Work

• Unnamed Item
• Unnamed Item
• A note on two problems in connexion with graphs
• Finding the \(K\) shortest paths in a schedule-based transit network
• Dendrite P systems
• A formal framework for spiking neural P systems
• Spiking neural P systems: matrix representation and formal verification
• A return to stochasticity and probability in spiking neural P systems
• Spiking neural P systems with multiple channels
• Spiking neural P systems with rules on synapses
• A new algorithm for finding the shortest paths using PCNNs
• A discrete-time recurrent neural network for shortest-path routing
• The shortest path computation in MOSPF protocol using an annealed Hopfield neural network with a new cooling schedule

This page was built for publication: Dynamic threshold P systems with delay on synapses for shortest path problems