Pulse-coupled networks

Known as: Pcnn, Pulse-coupled neural networks 
Pulse-coupled networks or pulse-coupled neural networks (PCNNs) are neural models proposed by modeling a cat’s visual cortex, and developed for high… (More)
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Papers overview

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2014
2014
0957-4174/$ see front matter 2013 Elsevier Ltd. All rights reserved. http://dx.doi.org/10.1016/j.eswa.2013.12.027 ⇑ Corresponding… (More)
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2012
2012
The emergence and stability of splay states is studied in fully coupled finite networks of N excitable quadratic integrate-and… (More)
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Highly Cited
2008
Highly Cited
2008
Nonsubsampled contourlet transform (NSCT) provides flexible multiresolution, anisotropy and directional expansion for images… (More)
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Highly Cited
2007
Highly Cited
2007
This paper presents a method for multi-focus image fusion by using pulse coupled neural network (PCNN). The registered source… (More)
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2007
2007
We study the reliability of spike output in a general class of pulse-coupled oscillators receiving a fluctuating input. Showing… (More)
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Highly Cited
2004
Highly Cited
2004
A method for segmentation and classification of Baltic Sea ice synthetic aperture radar (SAR) images, based on pulse-coupled… (More)
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2004
2004
We present a pulse-coupled network (PCN) of spiking oscillators (SOCs) which can be implemented as a simple electrical circuit… (More)
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Highly Cited
1999
Highly Cited
1999
This paper describes a method for segmenting digital images using pulse coupled neural networks (PCNN's). The pulse coupled… (More)
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Highly Cited
1999
Highly Cited
1999
We study pulse-coupled neural networks that satisfy only two assumptions: each isolated neuron fires periodically, and the… (More)
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Highly Cited
1999
Highly Cited
1999
This paper presents the first physiologically motivated pulse coupled neural network (PCNN)-based image fusion network for object… (More)
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