Random neural network

The random neural network (RNN) is a mathematical representation of an interconnected network of neurons or cells which exchange spiking signals. It… (More)
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Topic mentions per year

Topic mentions per year

1987-2018
051019872018

Papers overview

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2012
2012
We propose in this paper an extended model of the random neural networks, whose architecture is multi-feedback. In this case, we… (More)
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Review
2010
Review
2010
The Random Neural Network (RNN) is a recurrent neural network model inspired by the spiking behaviour of biological neuronal… (More)
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2008
2008
Large-scale distributed systems, such as natural neuronal and artificial systems, have many local interconnections, but they… (More)
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2008
2008
Large scale distributed systems, such as natural neuronal and artificial systems, have many local interconnections, but often… (More)
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2003
2003
This paper presents a novel technique for texture modeling and synthesis using the random neural network (RNN). This technique is… (More)
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Highly Cited
2002
Highly Cited
2002
An important and unsolved problem today is the automatic quantification of the quality of video flows transmitted over packet… (More)
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2002
2002
Spiked recurrent neural networks with "multiple classes" of signals have been recently introduced by Gelenbe and Fourneau (1999… (More)
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2000
2000
This paper presents a simple continuous analog hardware realization of the Random Neural Network (RNN) model. The proposed… (More)
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2000
2000
Training in the random neural network (RNN) is generally speci®ed as the minimization of an appropriate error function with… (More)
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1994
1994
  • J. Streity, M. Larkumy
  • 1994
We consider a randomly connected neural network with linear threshold elements which update in discrete time steps. The two main… (More)
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