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Journal ArticleDOI

Coupled Neural P Systems

Hong Peng, +1 more
- 01 Jun 2019 - 
- Vol. 30, Iss: 6, pp 1672-1682
TLDR
It is proved that CNP systems as number-generating devices are Turing universal and provided a small universal CNP system for function-computing devices.
Abstract
Inspired by Eckhorn’s neuron model that emulates a mammal’s visual cortex, this paper proposes a new kind of neural-like P system, called a coupled neural P (CNP) system. The CNP system consists of some coupled neurons, each with three components: receptive field, modulation, and output module. CNP systems are a kind of distributed parallel-computing model with a directed graph structure like spiking neural P systems. Moreover, CNP systems have a nonlinear coupled-modulation characteristic and a dynamic threshold mechanism. The computational power of CNP systems is discussed. Specifically, it is proved that CNP systems as number-generating devices are Turing universal. Moreover, we provide a small universal CNP system for function-computing devices.

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Citations
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Journal ArticleDOI

Spiking neural P systems with inhibitory rules

TL;DR: It is proved that SNP-IR systems are Turing universal number accepting/generating devices, and is shown as a directed graph with inhibitory arcs, which seems to have more powerful control.
Journal ArticleDOI

Medical Image Fusion Method Based on Coupled Neural P Systems in Nonsubsampled Shearlet Transform Domain.

TL;DR: Quantitative and qualitative experimental results demonstrate the advantage of the proposed fusion method in terms of visual quality and fusion performance.
Journal ArticleDOI

A novel fusion method based on dynamic threshold neural P systems and nonsubsampled contourlet transform for multi-modality medical images

TL;DR: The qualitative and quantitative experimental results demonstrate the advantage of the proposed fusion method in terms of the visual quality and fusion performance.
Journal ArticleDOI

Monodirectional Tissue P Systems With Promoters

TL;DR: It is proved that monodirectional tissue working in the flat maximally parallel mode characterizes regular sets of natural numbers and different uniform solutions to the Boolean satisfiability problem (SAT problem) are provided.
Journal ArticleDOI

Dendrite P systems.

TL;DR: A new variant of neural-like P systems, dendrite P (DeP) systems, where neurons simulate the computational function of dendrites and perform a firing-storing process instead of the storing-firing process in spiking neural P (SNP) Systems are proposed.
References
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Journal ArticleDOI

Computing with Membranes

TL;DR: It is proved that the P systems with the possibility of objects to cooperate characterize the recursively enumerable sets of natural numbers; moreover, systems with only two membranes suffice.
Book

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Gheorghe Paun
TL;DR: This chapter discusses Membrane Computing, What It Is and What It is Not, and attempts to get back to reality with open problems and Universality results.
Journal ArticleDOI

Feature linking via synchronization among distributed assemblies: Simulations of results from cat visual cortex

TL;DR: It is proposed that synchronization is a general principle for the coding of associations in and among sensory systems and that at least two distinct types of synchronization do exist: stimulus-forced (event-locked) synchronization support crude instantaneous associations and stimulus-induced (oscillatory) synchronizations support more complex iterative association processes.
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TL;DR: This handbook provides both a comprehensive survey of available knowledge and established research topics, and a guide to recent developments in the field, covering the subject from theory to applications.
Journal ArticleDOI

PCNN models and applications

TL;DR: The linking field modulation term is shown to be a universal feature of any biologically grounded dendritic model and the PCNN image decomposition (factoring) model is described in new detail.
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