paper
referenced-only
2018
paper:doi-10-1016-j-neubiorev-2018-04-004

Deep temporal models and active inference

ByKarl Friston·Richard Rosch·Thomas Parr·Cathy J. Price·Howard Bowman
Original abstract (expand)

•Active inference provides a principled account of epistemic behaviour.•Active inference rests upon hierarchical or deep generative models.•Deep generative models of state transitions embody nested temporal structure.•Reading can be simulated via active inference with deep models.•These simulations appear to have a high degree of biological plausibility.

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