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Mostrando ítems 111-117 de 117
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Spiking Neural P system without delay simulator implementation using GPGPUs
(Ateneo de Naga University, 2011)
This paper presents a parallel simulator for a type of P sys- tem known as spiking neural P system (SNP system) us- ing general purpose graphics processing units (GPGPUs). GPGPUs, unlike the more conventional and general ...
Artículo
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A Model of the Quorum Sensing System in Vibrio fischeri Using P Systems
(MIT Press, 2008)
Quorum sensing is a cell density dependent gene regulation system that allows an entire population of bacterial cells to communicate in order to regulate the expression of certain or specific genes in a coordinated way ...
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Dynamic threshold neural P systems
(Elsevier, 2019)
Pulse coupled neural networks (PCNN, for short) are models abstracting the synchronization behavior observed experimentally for the cortical neurons in the visual cortex of a cat’s brain, and the intersecting cortical ...
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An infinite hierarchy of languages defined by dP systems
(Elsevier, 2012)
Here, we continue the study of the recently introduced dP automata. They are symport/antiport P systems consisting of a number of components, each one accepting a string, and working together in recognizing the concatenation ...
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On The Delays In Spiking Neural P Systems
(2012)
In this work we extend and improve the results done in a previous work on simulating Spiking Neural P systems (SNP systems in short) with delays using SNP systems without delays. We simulate the former with the latter ...
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Spiking Neural P Systems with Structural Plasticity
(Springer, 2015)
Spiking neural P (SNP) systems are a class of parallel, distributed, and nondeterministic computing models inspired by the spiking of biological neurons. In this work, the biological feature known as structural plasticity ...
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A Rete-based algorithm for rule selection in P systems
(Old City Publishing, Inc., 2013)
The Rete algorithm is a well-known pattern matching algorithm conceived to make rule-based production system implementa tions more efficient. It builds a directed acyclic graph, represent ing higher-level rule sets, that ...