An error-tolerant serial binary full-adder via a spiking neural P system using HP/LP basic neurons

DOI10.1007/s41965-020-00033-3zbMath1469.68049OpenAlexW3008762040MaRDI QIDQ1983023

Gordon Cichon, Tseren-Onolt Ishdorj, Otgonnaran Ochirbat

Publication date: 14 September 2021

Published in: Journal of Membrane Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s41965-020-00033-3

zbMATH Keywords

error-tolerant adderSN P-systemSystem-C

Mathematics Subject Classification ID

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

Related Items (7)

Spiking neural P systems with a flat maximally parallel use of rules ⋮ A model learning based testing approach for spiking neural P systems ⋮ On homomorphic images of the Szilard languages of matrix insertion-deletion systems with matrices of size 2 ⋮ Computing with SN P systems with I/O mode ⋮ Homogeneous spiking neural P systems with structural plasticity ⋮ Implementation of RSA cryptographic algorithm using SN P systems based on HP/LP neurons ⋮ A return to stochasticity and probability in spiking neural P systems

Cites Work

• Computing along the axon
• Deterministic solutions to QSAT and Q3SAT by spiking neural P systems with pre-computed resources
• Uniform solutions to SAT and 3-SAT by spiking neural P systems with pre-computed resources
• A tissue \(P\) system and a DNA microfluidic device for solving the shortest common superstring problem
• The Stochastic Loss of Spikes in Spiking Neural P Systems: Design and Implementation of Reliable Arithmetic Circuits
• Computing with Spiking Neural P Systems: Traces and Small Universal Systems
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