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

Open Access

Peer-reviewed

Research Article

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
⨯

Reader Comments

Here
http://ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1002294#article1.body1.sec4.sec3.sec2.p2

In the Methods section, under the subtitle “Proposition” on page 20, the equation on the second line below the text in italics, the first symbol after ‘Here’ should be in bold.

No competing interests declared.

Neurons
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Neuronal dendrites
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Neural networks
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Action potentials
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Membrane potential
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Markov models
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