An improved universal spiking neural P system with generalized use of rules
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Publication:1983036
DOI10.1007/s41965-019-00025-yzbMath1469.68040OpenAlexW2990990897WikidataQ126769777 ScholiaQ126769777MaRDI QIDQ1983036
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/s41965-019-00025-y
Related Items (17)
Spiking neural P systems with a flat maximally parallel use of rules ⋮ Asynchronous homogenous spiking neural P systems with local rule synchronization ⋮ Steps toward a homogenization procedure for spiking neural P systems ⋮ Universality of spiking neural P systems with polarizations working in sequential mode induced by maximum spike number ⋮ On homomorphic images of the Szilard languages of matrix insertion-deletion systems with matrices of size 2 ⋮ ConvSNP: a deep learning model embedded with SNP-like neurons ⋮ Multi-learning rate optimization spiking neural P systems for solving the discrete optimization problems ⋮ Spiking neural P systems: main ideas and results ⋮ Automatic design of arithmetic operation spiking neural P systems ⋮ Asynchronous numerical spiking neural P systems ⋮ A distributed adaptive optimization spiking neural P system for approximately solving combinatorial optimization problems ⋮ A formal framework for spiking neural P systems ⋮ Homogeneous spiking neural P systems with structural plasticity ⋮ A return to stochasticity and probability in spiking neural P systems ⋮ Control languages accepted by labeled spiking neural P systems with rules on synapses ⋮ Proof techniques in membrane computing ⋮ Computational completeness of sequential spiking neural P systems with inhibitory rules
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