Author

K. Friston

3 papers indexed here

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Review Open access Sep 2026

The phantastic organ: predictive processing in the brain

Neuroscience has witnessed a curious inversion over the past decades, with a switch from views of the brain as abstracting information from sensory input to a view of the brain as a constructive organ, actively generating explanations for – and sampling – the sensorium. Perhaps this inversion is not strange, but a reve...

K. Friston, Thomas Parr · Frontiers in Psychology · 0 citations

#machine learning Preprint Mar 2025

Meta-Representational Predictive Coding: Neuroscience-Informed Self-Supervised Learning

A neuroscience-informed SSL model based on PC and active perception that sidesteps the need for a generative model of sensory input by learning to predict representations of data across parallel streams, resulting in an encoder-only learning-and-inference scheme.

Alexander G. Ororbia, K. Friston, Rajesh P. N. Rao · 0 citations

#artificial intelligence Preprint Aug 2026

Renormalising Generative Models for Active Inference: Foundations, Derivations, and Verification

This paper provides a self-contained, derivation-oriented account of RGMs, clarifying the theory and separating it from its original implementation context, and makes RGMs more transparent, auditable, and reproducible, providing a foundation for future quantitative evaluation and development on machine-learning benchma...

Karim Zaghw, A. Pashea, M. Pritsch et al. · 0 citations