ArticleScientific reports2016
On the Computational Power of Spiking Neural P Systems with Self-Organization.
Article in Scientific reports, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed.
- Turing universal neural networks do not require global clocks.Nature communications · 2026Article
- Optimal approximate computation of Euclidean distance in spiking neural P systems framework.Scientific reports · 2025Article
- A Computationally Virtual Histological Staining Method to Ovarian Cancer Tissue by Deep Generative Adversarial Networks.Computational and mathematical methods in medicine · 2021Article
- Correcting Errors in Image Encryption Based on DNA Coding.Molecules (Basel, Switzerland) · 2018Article
- RETRACTED: An improved DBSCAN algorithm based on cell-like P systems with promoters and inhibitors.PloS one · 2018Article
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- Optimal experimental conditions for Welan gum production by support vector regression and adaptive genetic algorithm.PloS one · 2017Article
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- Optimization to the Phellinus experimental environment based on classification forecasting method.PloS one · 2017Article
- A novel method for multifactorial bio-chemical experiments design based on combinational design theory.PloS one · 2017Article
- Complex Network Clustering by a Multi-objective Evolutionary Algorithm Based on Decomposition and Membrane Structure.Scientific reports · 2016Article
- A Computational Method for Optimizing Experimental Environments for Phellinus igniarius via Genetic Algorithm and BP Neural Network.BioMed research international · 2016Article
- Recombination Hotspot/Coldspot Identification Combining Three Different Pseudocomponents via an Ensemble Learning Approach.BioMed research international · 2016Article
- BP Neural Network Could Help Improve Pre-miRNA Identification in Various Species.BioMed research international · 2016Article
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- Optimization to the Culture Conditions for Phellinus Production with Regression Analysis and Gene-Set Based Genetic Algorithm.BioMed research international · 2016Article
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4 authors.
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Abstract
Neural-like computing models are versatile computing mechanisms in the field of artificial intelligence. Spiking neural P systems (SN P systems for short) are one of the recently developed spiking neural network models inspired by the way neurons communicate. The communications among neurons are essentially achieved by spikes, i. e. short electrical pulses. In terms of motivation, SN P systems fall into the third generation of neural network models. In this study, a novel variant of SN P systems, namely SN P systems with self-organization, is introduced, and the computational power of the system is investigated and evaluated. It is proved that SN P systems with self-organization are capable of computing and accept the family of sets of Turing computable natural numbers. Moreover, with 87 neurons the system can compute any Turing computable recursive function, thus achieves Turing universality. These results demonstrate promising initiatives to solve an open problem arisen by Gh Păun.
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