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Publication Detail
Dynamic Causal Models for phase coupling.
  • Publication Type:
    Journal article
  • Publication Sub Type:
    Journal Article
  • Authors:
    Penny WD, Litvak V, Fuentemilla L, Duzel E, Friston K
  • Publication date:
    30/09/2009
  • Pagination:
    19, 30
  • Journal:
    J Neurosci Methods
  • Volume:
    183
  • Issue:
    1
  • Status:
    Published
  • Country:
    Netherlands
  • PII:
    S0165-0270(09)00322-7
  • Language:
    eng
  • Keywords:
    Brain, Computer Simulation, Cortical Synchronization, Humans, Magnetoencephalography, Memory, Short-Term, Models, Biological, Nerve Net, Neurons, Nonlinear Dynamics
Abstract
This paper presents an extension of the Dynamic Causal Modelling (DCM) framework to the analysis of phase-coupled data. A weakly coupled oscillator approach is used to describe dynamic phase changes in a network of oscillators. The use of Bayesian model comparison allows one to infer the mechanisms underlying synchronization processes in the brain. For example, whether activity is driven by master-slave versus mutual entrainment mechanisms. Results are presented on synthetic data from physiological models and on MEG data from a study of visual working memory.
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Institute of Cognitive Neuroscience
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Imaging Neuroscience
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