Stochastic neural networks are a type of artificial neural networks built by introducing random variations into the network, either by giving theâ€¦Â (More)

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2013

2013

- Paul C. Bressloff, Jay M. Newby
- SIAM J. Applied Dynamical Systems
- 2013

One of the major challenges in neuroscience is to determine how noise that is present at the molecular and cellular levelsâ€¦Â (More)

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2010

2010

- Tao He, Jigen Peng, Jikai Lei
- Neural Computing and Applications
- 2010

In this paper, the asymptotic stability of the pinning synchronous solution of stochastic neural networks with and without timeâ€¦Â (More)

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2003

2003

- Tianhai Tian, Kevin Burrage
- IEEE Congress on Evolutionary Computation
- 2003

Recent advances in gene-expression profiling technologies provide large amounts of gene expression data. This raises theâ€¦Â (More)

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2003

2003

Hopfield (1984 Proc. Natl Acad. Sci. USA 81 3088â€“92) showed that the time evolution of a symmetric neural network is a motion inâ€¦Â (More)

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1997

1997

- Gustavo Deco, Lucas C. Parra
- Neural Networks
- 1997

Unsupervised feature extraction by a stochastic neural network can be defined as a minimization of the redundancy between theâ€¦Â (More)

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1996

1996

- Jieyu Zhao, John Shawe-Taylor, Max van Daalen
- Neural Networks
- 1996

This paper presents learning techniques for a novel feedforward stochastic neural network. The model uses stochastic weights andâ€¦Â (More)

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1995

1995

- George Kesidis
- IEEE Trans. Neural Networks
- 1995

We describe E. Wong's stochastic neural network (1989) and show that it can be used, in principle, to perform analog optimizationâ€¦Â (More)

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1995

1995

- Petri Myllym
- 1995

In this work, we are interested in the problem of nding maximum a posteriori probability (MAP) value assignments for a set ofâ€¦Â (More)

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1995

1995

- Antonio Torralba, Francisco Colodro Ruiz, Emilio Ibanez, Leopoldo GarcÃa Franquelo
- IEEE Trans. Neural Networks
- 1995

This paper presents two digital circuits that allow the implementation of a fully parallel stochastic Hopfield neural networkâ€¦Â (More)

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1993

1993

Most theoretical investigations of large recurrent networks focus on the properties of the macroscopic order parameters such asâ€¦Â (More)

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