Predictive coding under the free-energy principle

By Karl J. Friston, Stefan J. Kiebel. Philosophical Transactions of the Royal Society B: Biological Sciences, 2009

1,493 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Cognitive Neuroscience, Plant Science

View Paper: https://www.semanticscholar.org/paper/6927ea92b0d759a75f0f696fa028155d6d9ee2ca

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Citations in the corpus

Neural Encoding and Decoding with Deep Learning for Dynamic Natural Vision (2016, background): “1995; Kingma and Welling 2013), in line with the free-energy theory—a likely principle of the brain (Friston and Kiebel 2009; Friston 2010).”
Neural Elements for Predictive Coding (2016, background): “The free-energy formulation of generalized predictive coding (gPC) is one such theory (Friston and Kiebel, 2009), offering much promise as a basis for understanding the operations of the cerebral cortex in health (Bastos et al., 2012; Adams et al., 2013a) and disease (Adams et al., 2013b; Lawson et…”
Behavioral / Systems / Cognitive Striatal Prediction Error Modulates Cortical Coupling (2010, positive): “This is in accordance with current theoretical accounts of brain function, such as predictive coding and the free-energy principle (Rao and Ballard, 1999; Friston, 2005; Friston and Stephan, 2007; Friston and Kiebel, 2009), which posit a fundamental role of prediction errors for adaptive behavior an”
Illusory Motion Reproduced by Deep Neural Networks Trained for Prediction (2018, methodology): “Later, this theory was widely applied in the ﬁeld of neuroscience (Rao and Ballard, 1999; Friston and Kiebel, 2009) and has been also developed as “free energy theory,” which is based on a variational Bayesian method (Friston and Kiebel, 2009; Bogacz, 2017).”
REBUS and the Anarchic Brain: Toward a Unified Model of the Brain Action of Psychedelics (2019, background): “Returning to the free-energy principle, we know that an agent can minimize free energy via perceptual (Friston and Kiebel, 2009) and active inference (Friston et al., 2012b), both of which entail sampling and sculpting the world to refine internal representations of it and thus reduce uncertainty…”
Attention, Uncertainty, and Free-Energy (2010, methodology): “In this work, we try to show that attention emerges naturally in a Bayes-optimal scheme used previously to address predictive coding (Friston and Kiebel, 2009), perceptual categorization (Kiebel et al., 2009), learning (Friston, 2008) and action (Friston et al., 2010a).”
A Free Energy Principle for Biological Systems (2012, background): “Conversely, predictions are conveyed from deep pyramidal cells, by backward connections, to target (polysynaptically) the superficial pyramidal cells encoding prediction error [60].”
From the Phenomenology to the Mechanisms of Consciousness: Integrated Information Theory 3.0 (2014, background): “This is because the mechanisms specifying the concepts have themselves been honed under selective pressure from the environment during evolution, development, and learning [65–67].”
A review of predictive coding algorithms. (2017, methodology): “This predictive coding algorithm assumes that the sensory data can be described by a Gaussian distribution (the ‘‘Laplace assumption”), and hence, that the posterior density is Gaussian (Friston, 2009, 2010; Friston & Kiebel, 2009).”
The Rhetoric and Reality of Anthropomorphism in Artificial Intelligence (2019, background): “The process is often formalized along Bayesian lines, with current predictions serving as a prior distribution and new data providing a likelihood for dynamic updating (Friston 2009; Friston and Kiebel 2009).”
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language (2022, background): “Moreover, leading theories on the biology of learning (Friston & Kiebel, 2009; Friston, 2010) imply that humans likely use similar learning processes to understand the visual world as they do for language.”
The Computational Anatomy of Psychosis (2013, background): “Some of these simulations have been reported previously in different contexts (Friston and Kiebel, 2009a; Adams et al., 2012; Brown et al., in press).”