Asynchronous spiking neural P systems with local synchronization
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TLDR
In this paper, the authors introduce the notion of local synchronization into asynchronous SN P systems, where the use of spiking rules (even if they are enabled by the contents of neurons) is not obligatory.About:
This article is published in Information Sciences.The article was published on 2013-01-01 and is currently open access. It has received 177 citations till now. The article focuses on the topics: Asynchronous communication & Synchronization.read more
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Deep learning in spiking neural networks
Amirhossein Tavanaei,Masoud Ghodrati,Saeed Reza Kheradpisheh,Timothée Masquelier,Anthony S. Maida +4 more
TL;DR: The emerging picture is that SNNs still lag behind ANNs in terms of accuracy, but the gap is decreasing, and can even vanish on some tasks, while SNN's typically require many fewer operations and are the better candidates to process spatio-temporal data.
Journal ArticleDOI
An optimization spiking neural p system for approximately solving combinatorial optimization problems.
TL;DR: An extended spiking neural P system (ESNPS) has been proposed by introducing the probabilistic selection of evolution rules and multi-neurons output and a family of ESNPS, called optimization spiking Neural P system, are further designed through introducing a guider to adaptively adjust rule probabilities to approximately solve combinatorial optimization problems.
Journal ArticleDOI
Intelligent cryptography approach for secure distributed big data storage in cloud computing
TL;DR: An intelligent cryptography approach, by which the cloud service operators cannot directly reach partial data is proposed, and experimental results depict that the approach can effectively defend main threats from clouds and requires with an acceptable computation time.
Journal ArticleDOI
Spiking Neural P Systems with Communication on Request.
TL;DR: The Spiking Neural Systems with Communication on Request are proved to be computationally universal, that is, equivalent with Turing machines as long as two types of spikes are used.
Journal ArticleDOI
On the Universality of Axon P Systems
TL;DR: It is proved that four nodes are enough for axon P systems to achieve universality as number generators and function computing devices, and it is illustrated that the simple linear structure is enough to achieve a desired computational power.
References
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