Hierarchical Models in the Brain

  title={Hierarchical Models in the Brain},
  author={Karl J. Friston},
  journal={PLoS Computational Biology},
  pages={747 - 766}
This paper describes a general model that subsumes many parametric models for continuous data. The model comprises hidden layers of state-space or dynamic causal models, arranged so that the output of one provides input to another. The ensuing hierarchy furnishes a model for many types of data, of arbitrary complexity. Special cases range from the general linear model for static data to generalised convolution models, with system noise, for nonlinear time-series analysis. Crucially, all of… CONTINUE READING
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