Advertisement
Research Article

Neural Dynamics as Sampling: A Model for Stochastic Computation in Recurrent Networks of Spiking Neurons

  • Lars Buesing mail,

    lars@gatsby.ucl.ac.uk

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

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

    X
  • Johannes Bill,

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

    X
  • Bernhard Nessler,

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

    X
  • Wolfgang Maass

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

    X
  • Published: November 03, 2011
  • DOI: 10.1371/journal.pcbi.1002211

Media Coverage of this Article

Found additional news media or blog coverage for the article? Please let us know.

Linked Articles

STDP Installs in Winner-Take-All Circuits an Online Approximation to Hidden Markov Model Learning

David Kappel, Bernhard Nessler, Wolfgang Maass
Research Article | published 27 Mar 2014 | PLOS Computational Biology
doi:10.1371/journal.pcbi.1003511

Stochastic Computations in Cortical Microcircuit Models

Stefan Habenschuss, Zeno Jonke, Wolfgang Maass
Research Article | published 14 Nov 2013 | PLOS Computational Biology
doi:10.1371/journal.pcbi.1003311

Bayesian Computation Emerges in Generic Cortical Microcircuits through Spike-Timing-Dependent Plasticity

Bernhard Nessler, Michael Pfeiffer, Lars Buesing, Wolfgang Maass
Research Article | published 25 Apr 2013 | PLOS Computational Biology
doi:10.1371/journal.pcbi.1003037