Justin R Chumbley

Summary

Affiliation: University College London
Country: UK

Publications

  1. ncbi Learning and generalization under ambiguity: an fMRI study
    J R Chumbley
    The Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom
    PLoS Comput Biol 8:e1002346. 2012
  2. ncbi A Metropolis-Hastings algorithm for dynamic causal models
    Justin R Chumbley
    Wellcome Centre for Neuroimaging, Institute of Neurology, UCL, 12 Queen Square, London, WC1N 3BG, UK
    Neuroimage 38:478-87. 2007
  3. ncbi Attractor models of working memory and their modulation by reward
    Justin R Chumbley
    Wellcome Trust Centre for Neuroimaging, Institute of Neurology, UCL, 12 Queen Square, London, WC1N 3BG, UK
    Biol Cybern 98:11-8. 2008
  4. ncbi False discovery rate revisited: FDR and topological inference using Gaussian random fields
    Justin R Chumbley
    Wellcome Trust Centre for Neuroimaging, University College London, London, UK
    Neuroimage 44:62-70. 2009

Detail Information

Publications4

  1. ncbi Learning and generalization under ambiguity: an fMRI study
    J R Chumbley
    The Wellcome Trust Centre for Neuroimaging, University College London, London, United Kingdom
    PLoS Comput Biol 8:e1002346. 2012
    ..These findings suggest candidate neuronal systems that may be involved in aberrations of generalization, such as over-confidence...
  2. ncbi A Metropolis-Hastings algorithm for dynamic causal models
    Justin R Chumbley
    Wellcome Centre for Neuroimaging, Institute of Neurology, UCL, 12 Queen Square, London, WC1N 3BG, UK
    Neuroimage 38:478-87. 2007
    ..Reassuringly, we observe that the posterior is, for all practical purposes, insensitive of the choice of prior...
  3. ncbi Attractor models of working memory and their modulation by reward
    Justin R Chumbley
    Wellcome Trust Centre for Neuroimaging, Institute of Neurology, UCL, 12 Queen Square, London, WC1N 3BG, UK
    Biol Cybern 98:11-8. 2008
    ..We discuss the implications of these findings for theoretical formulations of basal and dopamine (DA)-modulated neural bump- attractor networks of working memory...
  4. ncbi False discovery rate revisited: FDR and topological inference using Gaussian random fields
    Justin R Chumbley
    Wellcome Trust Centre for Neuroimaging, University College London, London, UK
    Neuroimage 44:62-70. 2009
    ..We describe the nature of the problem, illustrate it with some examples and suggest a simple solution based on controlling the false discovery rate of connected excursion sets within an SPM, characterised by their volume...