The free-energy principle: a unified brain theory?

By Karl J. Friston. 2010

7,366 citations recorded by the source corpus.

Subfields: Atomic and Molecular Physics, and Optics, Cognitive Neuroscience, Statistical and Nonlinear Physics

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Citations in the corpus

Theory of Mind: A Neural Prediction Problem (2013, positive): “By contrast, attention may cause better speed and accuracy of performance by increasing overall neural responses to attended stimuli (Feldman and Friston, 2010; Friston, 2010; Herrmann et al., 2010; Hillyard et al., 1998; Kok et al., 2012b; Martinez-Trujillo and Treue, 2004; Reynolds and Heeger,…”
Information seeking, curiosity and attention: computational and neural mechanisms (2013, positive): “This idea resonates with the free-energy principle, which states that the possession of a large array of skills can be useful to avoid future surprises by “anticipating a changing and itinerant world” (Friston 2010; Friston, Thornton et al. 2012).”
How does the brain solve visual object recognition? (2012, neutral): “…idea that the ventral stream hierarchy, and interactions between different levels of the hierarchy, embed important processing principles analogous to those in large hierarchical organizations, such as the U.S. Army (e.g., Lee and Mumford, 2003; Friston, 2010; Roelfsema and Houtkamp, 2011).”
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.”
Toward an Integration of Deep Learning and Neuroscience (2016, methodology): “…eﬃcient encoding, faithful approximation of Bayesian inference, minimization of prediction error, attractor dynamics, modularity, the ability to subserve symbolic operations, and many others (Pinker, 1999; Marcus, 2001; Bialek, 2002; Knill and Pouget, 2004; Bialek et al., 2006; Friston, 2010).”
Speech Production as State Feedback Control (2011, background): “…to be a type of Bayesian inference (Roweis and Ghahramani, 1999) that can be accomplished using variational free-energy optimization principles (Friston, 2010), which appears to be a ubiquitous computational approach that applies to many computational problems in neuroscience. iS SfC Neurally…”
The math is not the territory: navigating the free energy principle (2021, background): “…equation and, in particular, the solenoidal and irrotational flows that fall out of the Helmholtz decomposition thereof, of which the irrotational flow can be conceptualised as a gradient-ascent on an attracting set (Friston 2009, 2010, 2012, 2019; Friston and Stephan 2007; Friston et al.”
An Approximation of the Error Backpropagation Algorithm in a Predictive Coding Network with Local Hebbian Synaptic Plasticity (2017, background): “Predictive coding has been proposed as a general framework for describing computations in the neocortex (Friston, 2010).”
Varieties of cognitive penetration in visual perception. (2014, neutral): “The most recent and theoretically most detailed account of predictive coding has been put forward by Friston (2010) and Clark (2013) while the basic ideas have been developed already earlier going back to Helmholtz (1860), Sokolov (1960), Gegory (1968) and Mumford (1992) (see Clark (2013) and…”
Thermodynamics as a theory of decision-making with information-processing costs (2012, background): “A free energy principle based on the variational Bayes approach has recently also been proposed as a theoretical framework to understand brain function [82, 83].”
Direct-fit to nature: an evolutionary perspective on biological (and artificial) neural networks (2019, background): “This resonates with the notion of “predictive coding” in neuroscience, which has gained momentum over the past two decades (Rao and Ballard, 1999) and is a central pillar of recent, optimization-oriented theories of brain function (Friston, 2010; Clark, 2013; Heeger, 2017).”
The Analysis of Image Contrast: From Quality Assessment to Automatic Enhancement (2016, methodology): “Friston’s recent discovery of free energy principle [16], we designed the free energy-based distortion metric (FEDM) [17]”
A Sensorimotor Circuit in Mouse Cortex for Visual Flow Predictions. (2017, neutral): “Note that in the framework of predictive coding, classically visual phenomena like attention and adaptation would also find amechanistic interpretation (Feldman and Friston, 2010; Keller et al., 2017).”
Computational neuroanatomy of speech production (2012, result): “However, in the later, external monitoring phase, the sensory representation is suppressed, which is consistent with some models of top-down sensory predictio”