Spiking neural P systems with lateral inhibition

DOI10.1016/j.neunet.2023.08.013OpenAlexW4385781909MaRDI QIDQ6070809

Yuzhen Zhao, Yuping Liu

Publication date: 24 November 2023

Published in: Neural Networks (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.neunet.2023.08.013

zbMATH Keywords

membrane computinglateral inhibitionTuring universalityspiking neural P systems

Mathematics Subject Classification ID

Artificial neural networks and deep learning (68T07) Learning and adaptive systems in artificial intelligence (68T05)

Cites Work

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• On languages generated by spiking neural P systems with weights
• Limits of computation. From a programming perspective
• On spiking neural P systems and partially blind counter machines
• Asynchronous spiking neural P systems
• On languages generated by asynchronous spiking neural P systems
• Small universal register machines
• Tissue P systems.
• Computing with membranes
• Reliability evaluation of distribution network based on fuzzy spiking neural P system with self-synapse
• Division rules for tissue P systems inspired by space filling curves
• Small SNQ P systems with multiple types of spikes
• Spiking neural P systems with target indications
• Rule synchronization for tissue P systems
• The computational power of monodirectional tissue P systems with symport rules
• Neural-like P systems with plasmids
• Monodirectional tissue P systems with channel states
• Spiking neural P systems with a flat maximally parallel use of rules
• On solutions and representations of spiking neural P systems with rules on synapses
• Computational power of sequential dendrite P systems
• Solution to PSPACE-complete problem using P systems with active membranes with time-freeness
• Numerical P systems with Boolean condition
• Fuzzy reasoning spiking neural P system for fault diagnosis
• Spiking Neural P Systems with Weights
• SPIKING NEURAL P SYSTEMS: AN EARLY SURVEY
• P Systems with Rule Production and Removal
• The Computational Power of Cell-like P Systems with Symport/Antiport Rules and Promoters
• Spiking Neural P Systems with a Generalized Use of Rules
• Multi-learning rate optimization spiking neural P systems for solving the discrete optimization problems

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