Karl Friston

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Review for "The Bayesian‐Laplacian Brain"

Karl Friston, 2019 .

The emergence of synchrony in networks of mutually inferring neurons

Karl J. Friston, Thomas Parr, Karl Friston, 2019, Scientific Reports.

Active inference on discrete state-spaces: A synthesis

Karl J. Friston, Thomas Parr, Karl Friston, 2020, Journal of mathematical psychology.

Canonical neural networks perform active inference

Karl J. Friston, Karl Friston, Takuya Isomura, 2020, Communications Biology.

Some Interesting Observations on the Free Energy Principle

Karl J. Friston, Thomas Parr, Karl Friston, 2020, Entropy.

Action and Perception as Divergence Minimization pdf

Karl J. Friston, Thomas Parr, Karl Friston, 2020, ArXiv.

Anticipation in architectural experience: a computational neurophenomenology for architecture?

Karl J. Friston, Thomas Parr, Karl Friston, 2020, 2011.03852.

Prediction and memory: A predictive coding account

Karl Friston, Helen C. Barron, Ryszard Auksztulewicz, 2020, Progress in Neurobiology.

Deep active inference agents using Monte-Carlo methods pdf

Karl J. Friston, Karl Friston, Noor Sajid, 2020, NeurIPS.

Introducing a Bayesian model of selective attention based on active inference

Karl J. Friston, Thomas Parr, Karl Friston, 2019, Scientific Reports.

Exploration, novelty, surprise, and free energy minimization

Raymond J. Dolan, Karl J. Friston, Philipp Schwartenbeck, 2013, Front. Psychol..

The relationship between dynamic programming and active inference: the discrete, finite-horizon case pdf

Karl J. Friston, Thomas Parr, Karl Friston, 2020, ArXiv.

Uncoupling Sensation and Perception in Human Time Processing

Sven Bestmann, Karl Friston, Alessandro Tomassini, 2020, Journal of Cognitive Neuroscience.

Neural and phenotypic representation under the free-energy principle

Karl J. Friston, Karl Friston, Ryan Smith, 2020, Neuroscience & Biobehavioral Reviews.

Deep Active Inference and Scene Construction

Karl J. Friston, Thomas Parr, Karl Friston, 2020, bioRxiv.

Free-Energy Minimization and the Dark-Room Problem

Karl J. Friston, Andy Clark, Karl Friston, 2012, Front. Psychology.

Bayesian estimation of evoked and induced responses

Karl J. Friston, Jérémie Mattout, Christophe Phillips, 2006, Human brain mapping.

On Markov blankets and hierarchical self-organisation

Adeel Razi, Karl J. Friston, Thomas Parr, 2019, Journal of theoretical biology.

Evidence for surprise minimization over value maximization in choice behavior

Karl J. Friston, Philipp Schwartenbeck, Karl Friston, 2015, Scientific Reports.

Smooth Pursuit and Visual Occlusion: Active Inference and Oculomotor Control in Schizophrenia

Karl J. Friston, Karl Friston, Rick A. Adams, 2012, PloS one.

Estimating Directed Connectivity from Cortical Recordings and Reconstructed Sources

Karl J. Friston, Daniele Marinazzo, Karl Friston, 2015, Brain Topography.

The functional architectures of addition and subtraction: Network discovery using fMRI and DCM

Yang Yang, Karl J. Friston, Shengfu Lu, 2017, Human brain mapping.

Ich bin – also denke ich

Karl J. Friston, Karl Friston, 2016 .

Attention to Action: Specific Modulation of Corticocortical Interactions in Humans

Karl J. Friston, Richard Passingham, Karl Friston, 2001, NeuroImage.

Markov blankets in the brain

Karl J. Friston, Thomas Parr, Karl Friston, 2020, Neuroscience & Biobehavioral Reviews.

I See Your Effort: Force-Related BOLD Effects in an Extended Action Execution–Observation Network Involving the Cerebellum

Karl J. Friston, Fulvia Palesi, Karl Friston, 2019, Cerebral cortex.

Representation and agency.

Karl Friston, 2020, The Behavioral and brain sciences.

Empirical Bayes for DCM: A Group Inversion Scheme

Karl J. Friston, Karl Friston, Vladimir Litvak, 2015, Front. Syst. Neurosci..

In vitro neural networks minimise variational free energy

Karl J. Friston, Karl Friston, Takuya Isomura, 2018, Scientific Reports.

Corrigendum to ‘Optimal inference with suboptimal models: Addiction and active Bayesian inference’ [Med. Hypotheses 84 (2015) 109–117]

Philipp Schwartenbeck, Karl Friston, Martin Kronbichler, 2016, Medical hypotheses.

Active inference and robot control: a case study

Karl J. Friston, Giovanni Pezzulo, Karl Friston, 2016, Journal of The Royal Society Interface.

Markov blankets, information geometry and stochastic thermodynamics

Karl J. Friston, Thomas Parr, Karl Friston, 2019, Philosophical Transactions of the Royal Society A.

26th Annual Computational Neuroscience Meeting (CNS*2017): Part 1

Simona Cocco, Rémi Monasson, Robert Chen, 2017, BMC Neuroscience.

Structure learning in coupled dynamical systems and dynamic causal modelling

Karl Friston, Amirhossein Jafarian, Peter Zeidman, 2019, Philosophical Transactions of the Royal Society A.

Active inference under visuo-proprioceptive conflict: Simulation and empirical results

Karl J. Friston, Karl Friston, Jakub Limanowski, 2020, Scientific Reports.

The Markov blankets of life: autonomy, active inference and the free energy principle

Karl J. Friston, Thomas Parr, Karl Friston, 2018, Journal of The Royal Society Interface.

Structural and Functional Brain Networks: From Connections to Cognition

Karl J. Friston, Karl Friston, Hae-Jeong Park, 2013, Science.

Variational Bayesian inference for fMRI time series

Karl J. Friston, Karl Friston, Stefan Kiebel, 2003, NeuroImage.

The anatomy of choice: active inference and agency

Raymond J. Dolan, Karl J. Friston, Michael Moutoussis, 2013, Front. Hum. Neurosci..

Empirical Bayes for Group (DCM) Studies: A Reproducibility Study

Karl J. Friston, Karl Friston, Vladimir Litvak, 2015, Front. Hum. Neurosci..

Sedation modulates fronto-temporal predictive coding circuits and the double surprise acceleration effect

Ling Li, Karl J. Friston, Howard Bowman, 2020, bioRxiv.

Bayesian Filtering with Multiple Internal Models: Toward a Theory of Social Intelligence

Karl J. Friston, Thomas Parr, Karl Friston, 2019, Neural Computation.

A theory of cortical responses

Karl J. Friston, Karl Friston, 2005, Philosophical Transactions of the Royal Society B: Biological Sciences.

Modelling Geometric Deformations in Epi Time Series

Karl J. Friston, Robert Turner, John Ashburner, 2022 .

Cerebral hierarchies: predictive processing, precision and the pulvinar

Karl J. Friston, Ryota Kanai, Karl Friston, 2015, Philosophical Transactions of the Royal Society B: Biological Sciences.

Brain Informatics and Health

Karl J. Friston, Karl Friston, Hanchuan Peng, 2015, Lecture Notes in Computer Science.

Self-organisation, inference and cognition: comment on "Consciousness, crosstalk, and the mereological fallacy: an evolutionary perspective" by Rodrick Wallace.

Karl J. Friston, Karl Friston, 2012, Physics of life reviews.

Bayesian model reduction

Karl J. Friston, Thomas Parr, Karl Friston, 2018, 1805.07092.

The anatomy of choice: dopamine and decision-making

Raymond J. Dolan, Karl J. Friston, Michael Moutoussis, 2014, Philosophical Transactions of the Royal Society B: Biological Sciences.

2003 Special Issue Learning and inference in the brain

Karl J. Friston, Karl Friston, 2003 .

Sedation Modulates Frontotemporal Predictive Coding Circuits and the Double Surprise Acceleration Effect

Ling Li, Karl J. Friston, Howard Bowman, 2020, Cerebral cortex.

Structure learning in coupled dynamical systems and dynamic causal modelling

Karl J. Friston, Karl Friston, Vladimir Litvak, 2019, Philosophical Transactions of the Royal Society A.

Review for "Predictive processing: is the future just a memory?"

Karl Friston, 2020 .

The effect of global signal regression on DCM estimates of noise and effective connectivity from resting state fMRI

Adeel Razi, Daniele Marinazzo, Karl Friston, 2020, NeuroImage.

Keep focussing: striatal dopamine multiple functions resolved in a single mechanism tested in a simulated humanoid robot

Raymond J. Dolan, Francesco Mannella, Karl J. Friston, 2014, Front. Psychol..

The Emperor's new topology: Comment on "Topodynamics of metastable brains" by Arturo Tozzi et al.

Karl J. Friston, Karl Friston, 2017, Physics of life reviews.

Perceptions as Hypotheses: Saccades as Experiments

Karl J. Friston, Michael Breakspear, Karl Friston, 2012, Front. Psychology.

Cognition coming about: Self-organisation and free-energy: Commentary on Wright, J.J. and Bourke, P.D. (2020) "The growth of cognition: Free energy minimization and the embryogenesis of cortical computation".

Karl Friston, Axel Constant, Ines Hipolito, 2020, Physics of life reviews.

Predictive coding under the free-energy principle

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

Sophisticated Inference pdf

Karl J. Friston, Thomas Parr, Karl Friston, 2020, Neural Computation.

Review for "Biophysical mechanisms governing large‐scale brain network dynamics underlying individual‐specific variability of perception"

Karl Friston, 2020 .

MRI Sensitivity Correction and Tissue Classification

John Ashburner, Karl Friston, 1998, NeuroImage.

Is the free-energy principle neurocentric?

Karl J. Friston, Karl Friston, 2010, Nature Reviews Neuroscience.

Deep Active Inference and Scene Construction

Thomas Parr, Karl Friston, Igor Kagan, 2020, Frontiers in Artificial Intelligence.

Excitatory versus inhibitory feedback in Bayesian formulations of scene construction

Dietmar Heinke, Karl J. Friston, Karl Friston, 2019, Journal of the Royal Society Interface.

Is the Free-Energy Principle a Formal Theory of Semantics? From Variational Density Dynamics to Neural and Phenotypic Representations

Karl J. Friston, Karl Friston, Ines Hipolito, 2020, Entropy.

Cortical beta oscillations reflect the contextual gating of visual action feedback

Karl J. Friston, Karl Friston, Vladimir Litvak, 2020, NeuroImage.

There’s no such thing as a ‘true’ model: the challenge of assessing face validity*

Karl J. Friston, Karl Friston, Amirhossein Jafarian, 2019, 2019 IEEE International Conference on Systems, Man and Cybernetics (SMC).

Reverse-Engineering Neural Networks to Characterize Their Cost Functions

Karl J. Friston, Karl Friston, Takuya Isomura, 2020, Neural Computation.

Editorial: Self-Organization in the Nervous System

Karl J. Friston, Karl Friston, Yan M. Yufik, 2017, Front. Syst. Neurosci..

Predicting green: really radical (plant) predictive processing

Karl J. Friston, Karl Friston, Paco Calvo, 2017, Journal of The Royal Society Interface.

Cortical beta oscillations reflect the contextual gating of visual action feedback

Karl Friston, Vladimir Litvak, Jakub Limanowski, 2020, NeuroImage.

Natural selection finds natural gradient

Karl J. Friston, Thomas Parr, Karl Friston, 2020 .

Brain Informatics and Health: 8th International Conference, BIH 2015, London, UK, August 30 - September 2, 2015. Proceedings

Yike Guo, Hanchuan Peng, Karl Friston, 2015 .

Neural Dynamics under Active Inference: Plausibility and Efficiency of Information Processing

Karl J. Friston, Thomas Parr, Karl Friston, 2020, Entropy.

Active Tree Search in Large POMDPs pdf

Karl J. Friston, Francesco Gregoretti, Giovanni Pezzulo, 2021, ArXiv.

Embodiment and Schizophrenia: A Review of Implications and Applications.

Karl J. Friston, Karl Friston, Wolfgang Tschacher, 2017, Schizophrenia bulletin.

Newcastle University Eprints This Work Is Licensed under a Creative Commons Attribution-noncommercial-sharealike 3.0 Unported License Features versus Feelings: Dissociable Representations of the Acoustic Features and Valence of Aversive Sounds

Karl J. Friston, Karl Friston, Katharina von Kriegstein, 2022 .

Prediction, perception and agency

Karl J. Friston, Karl Friston, 2012, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

All Thinking is ‘Wishful’ Thinking

Karl J. Friston, Karl Friston, Arie W. Kruglanski, 2020, Trends in Cognitive Sciences.

Analysis of fMRI data using the general linear statistical model

Robert Turner, John Ashburner, Karl Friston, 1996, NeuroImage.

Hierarchical Dynamic Causal Modeling of Resting-State fMRI Reveals Longitudinal Changes in Effective Connectivity in the Motor System after Thalamotomy for Essential Tremor

Adeel Razi, Karl J. Friston, Jin Woo Chang, 2017, Front. Neurol..

Tracking Changes following Spinal Cord Injury : Insights from Neuroimaging

Karl J. Friston, Karl Friston, Patrick Freund, 2013 .

Embodied neurology: an integrative framework for neurological disorders

Karl J. Friston, Klaas E. Stephan, Nikolaus Weiskopf, 2016, Brain : a journal of neurology.

Karl J. Friston, Robert Oostenveld, Karl Friston, 2012, The Journal of Neuroscience.

Predictive coding, precision and synchrony

Karl J. Friston, Karl Friston, 2012, Cognitive neuroscience.

Action perception as hypothesis testing

Karl J. Friston, Giovanni Pezzulo, Karl Friston, 2017, Cortex.

Recovery after stroke: not so proportional after all?

Karl J. Friston, Pia Rotshtein, Karl Friston, 2018, bioRxiv.

A Global Estimator Unbiased by Local Changes

Karl J. Friston, John Ashburner, Karl Friston, 2001, NeuroImage.

Neurophysiology: The Brain at Work

Karl Friston, 2008, Current Biology.

Action-Dependent Processing of Touch in the Human Parietal Operculum and Posterior Insula.

Pedro Lopes, Karl J. Friston, Patrick Baudisch, 2019, Cerebral cortex.

MRI in traumatic spinal cord injury: from clinical assessment to neuroimaging biomarkers

Karl J. Friston, Nikolaus Weiskopf, Karl Friston, 2019, The Lancet Neurology.

Some free-energy puzzles resolved: response to Thornton

Karl J. Friston, Karl Friston, 2010, Trends in Cognitive Sciences.

Functional magnetic resonance imaging of the human brain: data acquisition and analysis

R. Turner, Karl J. Friston, Karl Friston, 1998, Experimental Brain Research.

Deep brain stimulation has state-dependent effects on motor connectivity in Parkinson's disease.

Karl J. Friston, Guillaume Flandin, Laura Mancini, 2019, Brain : a journal of neurology.

The prefrontal cortex shows context-specific changes in effective connectivity to motor or visual cortex during the selection of action or colour.

Karl J. Friston, Karl Friston, Klaas E Stephan, 2004, Cerebral cortex.

Predictive coding explains binocular rivalry: An epistemological review

Karl J. Friston, Karl Friston, Andreas Roepstorff, 2008, Cognition.

Predictions, perception, and a sense of self

Karl J. Friston, Karl Friston, Fabienne Picard, 2014, Neurology.

Life and Understanding: The Origins of “Understanding” in Self-Organizing Nervous Systems

Karl J. Friston, Karl Friston, Yan M. Yufik, 2016, Front. Syst. Neurosci..

Attention to action in Parkinson's disease: impaired effective connectivity among frontal cortical regions.

Karl J. Friston, Richard Passingham, Karl Friston, 2002, Brain : a journal of neurology.

Active Inference, Attention, and Motor Preparation

Karl J. Friston, Sven Bestmann, Karl Friston, 2011, Front. Psychology.

The role of prestimulus activity in visual extinction☆

Tom Manly, Karl J. Friston, Geraint Rees, 2013, Neuropsychologia.

Progressive neurodegeneration following spinal cord injury

Karl J. Friston, Nikolaus Weiskopf, John Ashburner, 2018, Neurology.

Resting EEG in psychosis and at-risk populations — A possible endophenotype?

Karl J. Friston, Muriel Walshe, Anirban Dutt, 2014, Schizophrenia Research.

Task-Dependent Modulation of Effective Connectivity within the Default Mode Network

Karl J. Friston, Dewen Hu, Karl Friston, 2012, Front. Psychology.

Breeding novel solutions in the brain: a model of Darwinian neurodynamics

Eörs Szathmáry, Karl J. Friston, Karl Friston, 2016, F1000Research.

Effects of motivation on reward and attentional networks: an fMRI study

Jin Fan, Karl J. Friston, Karl Friston, 2012, Brain and behavior.

Basal ganglia‐cortical structural connectivity in Huntington's disease

Karl J. Friston, Karl Friston, Chris A Clark, 2015, Human brain mapping.

Voxel based morphometry of 465 normal adult human brains

Karl J. Friston, John Ashburner, Karl Friston, 2000, NeuroImage.

Cognition Structural and Functional Brain Networks : From Connections to

Karl J. Friston, Karl Friston, Hae-Jeong Park, 2013 .