Probabilistic Inference in General Graphical Models through Sampling in Stochastic Networks of Spiking Neurons

Dejan Pecevski; Lars Buesing; Wolfgang Maass

doi:10.1371/journal.pcbi.1002294

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Open Access

Peer-reviewed

Research Article

Probabilistic Inference in General Graphical Models through Sampling in Stochastic Networks of Spiking Neurons

Dejan Pecevski ,

* E-mail: dejan@igi.tugraz.at

Affiliation Institute for Theoretical Computer Science, Graz University of Technology, Graz, Austria
⨯
Lars Buesing,

Current address: Gatsby Computational Neuroscience Unit, University College London, London, United Kingdom

Affiliation Institute for Theoretical Computer Science, Graz University of Technology, Graz, Austria
⨯
Wolfgang Maass

Affiliation Institute for Theoretical Computer Science, Graz University of Technology, Graz, Austria
⨯

Probabilistic Inference in General Graphical Models through Sampling in Stochastic Networks of Spiking Neurons

Dejan Pecevski,
Lars Buesing,
Wolfgang Maass

Published: December 15, 2011
https://doi.org/10.1371/journal.pcbi.1002294

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Publisher's Note: Error in equation

Posted by PLOS_CompBiol on 17 Jan 2012 at 14:48 GMT

(25)
http://ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002294#article1.body1.sec4.sec3.p2

In the Methods section, there was an error in Equation 25 in the section titled "Details to Second Order Boltzmann Distributions with Auxiliary Variables (Implementation 1)" The subscript "c" of the letter I on the right side of the equation should be a superscript, i.e. it should be I^c.

No competing interests declared.

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Probabilistic Inference in General Graphical Models through Sampling in Stochastic Networks of Spiking Neurons

Probabilistic Inference in General Graphical Models through Sampling in Stochastic Networks of Spiking Neurons

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Publisher's Note: Error in equation

Posted by PLOS_CompBiol on 17 Jan 2012 at 14:48 GMT