Predictive Coding Accounts of Perception: A Review of What the Framework Rules Out

Authors

  • Helena-Ana Skerbinek Centre for Computational Neuroscience, Savinjska Institute of Cognitive Neuroscience, Zalec, Slovenia Author
  • Gottfried-J Eggebrecht Department of Sensory Neuroscience, Steigerwald Laboratory for Systems Neuroscience, Ebrach, Germany Author
  • Diomira Castagnoli Centre for Computational Neuroscience, Val di Chiana Centre for Brain and Behaviour, Montepulciano, Italy Author

DOI:

https://doi.org/10.5281/zenodo.22677679

Keywords:

Predictive Coding Accounts of Perception; Cognitive neuroscience; Neurofeedback; Evidence synthesis; Research methodology

Abstract

Predictive Coding Accounts of Perception has moved quickly from a niche scientific question to something a wider community can
now investigate with reasonably reliable tools, but the evidence behind it has not always kept pace. We pull together the current
evidence for predictive coding accounts of perception, covering the methodological, practical, regulatory and cost angles, with an
eye on where practice has genuinely settled and where researchers and reviewers are still largely working it out for themselves.
Selective, context-specific pursuit looks better supported by the evidence gathered here than either broad rollout or blanket
avoidance.

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Published

2022-05-21