Dendrite P systems

DOI10.1016/j.neunet.2020.04.014zbMath1468.68100OpenAlexW3017199621WikidataQ93259129 ScholiaQ93259129MaRDI QIDQ1982409

Xiaoxiao Song, Mario J. Pérez-Jiménez, Jun Wang, Agustín Riscos-Núñez, Tingting Bao, Hong Peng, Xiao-Hui Luo

Publication date: 8 September 2021

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

Full work available at URL: https://doi.org/10.1016/j.neunet.2020.04.014

zbMATH Keywords

computational powerP-systemsdendrite P-systemsneural-like P-systems

Mathematics Subject Classification ID

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

Related Items (16)

Computational completeness of spiking neural P systems with inhibitory rules for generating string languages ⋮ Computational power of sequential spiking neural P systems with multiple channels ⋮ Dynamic threshold P systems with delay on synapses for shortest path problems ⋮ Small universal spiking neural P systems with dendritic/axonal delays and dendritic trunk/feedback ⋮ Generating, computing and recognizing with virus machines ⋮ ConvSNP: a deep learning model embedded with SNP-like neurons ⋮ Asynchronous spiking neural P systems with local synchronization of rules ⋮ Nonlinear spiking neural P systems with multiple channels ⋮ Generation of chain code pictures using cell-like spiking neural P system with several types of spikes ⋮ Computational power of dynamic threshold neural P systems for generating string languages ⋮ Sequential dynamic threshold neural P systems ⋮ Computational power of sequential dendrite P systems ⋮ Neural-like P systems with plasmids ⋮ Computational completeness of sequential spiking neural P systems with inhibitory rules ⋮ Nonlinear neural P systems for generating string languages ⋮ Small Universal Numerical P Systems with Thresholds for Computing Functions

Uses Software

• CuSNP

Cites Work

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