Functional integration and inference in the brain

@article{Friston2002FunctionalIA,
  title={Functional integration and inference in the brain},
  author={Karl J. Friston},
  journal={Progress in Neurobiology},
  year={2002},
  volume={68},
  pages={113-143}
}
Self-supervised models of how the brain represents and categorises the causes of its sensory input can be divided into two classes: those that minimise the mutual information (i.e. redundancy) among evoked responses and those that minimise the prediction error. Although these models have similar goals, the way they are attained, and the functional architectures employed, can be fundamentally different. This review describes the two classes of models and their implications for the functional… Expand
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