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Karl J. Friston [23]Karl Friston [12]
  1. Predictive Coding Explains Binocular Rivalry: An Epistemological Review.Jakob Hohwy, Andreas Roepstorff & Karl Friston - 2008 - Cognition 108 (3):687-701.
  2.  89
    Computational Psychiatry.P. Read Montague, Raymond J. Dolan, Karl J. Friston & Peter Dayan - 2012 - Trends in Cognitive Sciences 16 (1):72-80.
  3. Free-Energy and the Brain.J. Friston Karl & E. Stephan Klaas - 2007 - Synthese 159 (3):417 - 458.
    If one formulates Helmholtz's ideas about perception in terms of modern-day theories one arrives at a model of perceptual inference and learning that can explain a remarkable range of neurobiological facts. Using constructs from statistical physics it can be shown that the problems of inferring what cause our sensory inputs and learning causal regularities in the sensorium can be resolved using exactly the same principles. Furthermore, inference and learning can proceed in a biologically plausible fashion. The ensuing scheme rests on (...)
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  4.  1
    The Anatomy of Choice: Active Inference and Agency.Karl Friston, Philipp Schwartenbeck, Thomas FitzGerald, Michael Moutoussis, Timothy Behrens & Raymond J. Dolan - 2013 - Frontiers in Human Neuroscience 7.
  5.  11
    From Cognitivism to Autopoiesis: Towards a Computational Framework for the Embodied Mind.Micah Allen & Karl J. Friston - forthcoming - Synthese:1-24.
    Predictive processing approaches to the mind are increasingly popular in the cognitive sciences. This surge of interest is accompanied by a proliferation of philosophical arguments, which seek to either extend or oppose various aspects of the emerging framework. In particular, the question of how to position predictive processing with respect to enactive and embodied cognition has become a topic of intense debate. While these arguments are certainly of valuable scientific and philosophical merit, they risk underestimating the variety of approaches gathered (...)
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  6.  12
    A Duet for One.Karl Friston & Christopher Frith - 2015 - Consciousness and Cognition 36:390-405.
  7.  20
    Active Inference and Free Energy.Karl Friston - 2013 - Behavioral and Brain Sciences 36 (3):212-213.
    Why do brains have so many connections? The principles exposed by Andy Clark provide answers to questions like this by appealing to the notion that brains distil causal regularities in the sensorium and embody them in models of their world. For example, connections embody the fact that causes have particular consequences. This commentary considers the imperatives for this form of embodiment.
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  8. The Pragmatic Turn: Toward Action-Oriented Views in Cognitive Science.K. Engel Andreas, J. Friston Karl & Kragic Danica (eds.) - 2016 - MIT Press.
  9.  2
    Free-Energy Minimization and the Dark-Room Problem.Karl Friston, Christopher Thornton & Andy Clark - 2012 - Frontiers in Psychology 3.
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  10.  2
    Exploration, Novelty, Surprise, and Free Energy Minimization.Philipp Schwartenbeck, Thomas FitzGerald, Raymond J. Dolan & Karl Friston - 2013 - Frontiers in Psychology 4.
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  11.  19
    Degeneracy and Redundancy in Cognitive Anatomy.Karl J. Friston & Cathy J. Price - 2003 - Trends in Cognitive Sciences 7 (4):151-152.
  12.  18
    On Hyperpriors and Hypopriors: Comment on Pellicano and Burr.Karl J. Friston, Rebecca Lawson & Chris D. Frith - 2013 - Trends in Cognitive Sciences 17 (1):1.
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  13.  12
    Bayesian Inferences About the Self : A Review.Michael Moutoussis, Pasco Fearon, Wael El-Deredy, Raymond J. Dolan & Karl J. Friston - 2014 - Consciousness and Cognition 25:67-76.
    Viewing the brain as an organ of approximate Bayesian inference can help us understand how it represents the self. We suggest that inferred representations of the self have a normative function: to predict and optimise the likely outcomes of social interactions. Technically, we cast this predict-and-optimise as maximising the chance of favourable outcomes through active inference. Here the utility of outcomes can be conceptualised as prior beliefs about final states. Actions based on interpersonal representations can therefore be understood as minimising (...)
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  14.  1
    Uncertainty in Perception and the Hierarchical Gaussian Filter.Christoph D. Mathys, Ekaterina I. Lomakina, Jean Daunizeau, Sandra Iglesias, Kay H. Brodersen, Karl J. Friston & Klaas E. Stephan - 2014 - Frontiers in Human Neuroscience 8.
  15.  1
    Attention, Predictions and Expectations, and Their Violation: Attentional Control in the Human Brain.Simone Vossel, Joy J. Geng & Karl J. Friston - 2014 - Frontiers in Human Neuroscience 8.
  16.  1
    Relating the “Mirrorness” of Mirror Neurons to Their Origins.James M. Kilner & Karl J. Friston - 2014 - Behavioral and Brain Sciences 37 (2):207-208.
  17.  41
    Modes or Models: A Critique on Independent Component Analysis for fMRI.Karl J. Friston - 1998 - Trends in Cognitive Sciences 2 (10):373-375.
  18. Keep Focussing: Striatal Dopamine Multiple Functions Resolved in a Single Mechanism Tested in a Simulated Humanoid Robot.Vincenzo G. Fiore, Valerio Sperati, Francesco Mannella, Marco Mirolli, Kevin Gurney, Karl Friston, Raymond J. Dolan & Gianluca Baldassarre - 2014 - Frontiers in Psychology 5.
    The effects of striatal dopamine (DA) on behavior have been widely investigated over the past decades, with “phasic” burst firings considered as the key expression of a reward prediction error responsible for reinforcement learning. Less well studied is “tonic” DA, where putative functions include the idea that it is a regulator of vigor, incentive salience, disposition to exert an effort and a modulator of approach strategies. We present a model combining tonic and phasic DA to show how different outflows triggered (...)
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  19. A Formal Model of Interpersonal Inference.Michael Moutoussis, Nelson J. Trujillo-Barreto, Wael El-Deredy, Raymond J. Dolan & Karl J. Friston - 2014 - Frontiers in Human Neuroscience 8.
  20.  60
    Bayesian Inference, Predictive Coding and Delusions.Rick A. Adams, Harriet R. Brown & Karl J. Friston - 2015 - Avant: Trends in Interdisciplinary Studies 3:51-88.
    This paper considers psychotic symptoms in terms of false inferences or beliefs. It is based on the notion that the brain is an organ of inference that actively constructs hypotheses to explain or predict its sensations. This perspective provides a normative account of action and perception that emphasises probabilistic representations; in particular, the confidence or precision of beliefs about the world. We consider sensory attenuation deficits, catatonia and delusions as various expressions of the same core pathology: namely, an aberrant encoding (...)
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  21.  11
    The Depressed Brain: An Evolutionary Systems Theory.Paul B. Badcock, Christopher G. Davey, Sarah Whittle, Nicholas B. Allen & Karl J. Friston - forthcoming - Trends in Cognitive Sciences.
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  22.  37
    Hallucinations and Perceptual Inference.Karl J. Friston - 2005 - Behavioral and Brain Sciences 28 (6):764-766.
    This commentary takes a closer look at how “constructive models of subjective perception,” referred to by Collerton et al. (sect. 2), might contribute to the Perception and Attention Deficit (PAD) model. It focuses on the neuronal mechanisms that could mediate hallucinations, or false inference – in particular, the role of cholinergic systems in encoding uncertainty in the context of hierarchical Bayesian models of perceptual inference (Friston 2002b; Yu & Dayan 2002).
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  23.  20
    Erratum: Computational Psychiatry.P. Read Montague, Raymond J. Dolan, Karl J. Friston & Peter Dayan - 2012 - Trends in Cognitive Sciences 16 (5):306.
  24.  30
    What Does Functional MRI Measure? Two Complementary Perspectives.Karl J. Friston - 2012 - Trends in Cognitive Sciences 16 (10):491-492.
  25.  22
    Some Free-Energy Puzzles Resolved: Response to Thornton.Karl Friston - 2010 - Trends in Cognitive Sciences 14 (2):54-55.
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  26.  2
    Editorial: Mapping Psychopathology with fMRI and Effective Connectivity Analysis.Baojuan Li, Adeel Razi & Karl J. Friston - 2017 - Frontiers in Human Neuroscience 11.
  27.  16
    Cognitive Neuroscience NeuroReport.Frances Abell, Michael Krams, John Ashburner, Richard Passingham, Karl Friston, Richard Frackowiak, Francesca HappeÂ, Chris Frith & Uta FrithCA - 1999 - Cognition 10 (1647):1647-1651.
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  28.  5
    Active Inference and Cognitive-Emotional Interactions in the Brain.Giovanni Pezzulo, Laura Barca & Karl J. Friston - 2015 - Behavioral and Brain Sciences 38.
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  29.  16
    Symmetries and Itineracy in Nonlinear Systems with Many Degrees of Freedom.Michael Breakspear & Karl Friston - 2001 - Behavioral and Brain Sciences 24 (5):813-813.
    Tsuda examines the potential contribution of nonlinear dynamical systems, with many degrees of freedom, to understanding brain function. We offer suggestions concerning symmetry and transients to strengthen the physiological motivation and theoretical consistency of this novel research direction: Symmetry plays a fundamental role, theoretically and in relation to real brains. We also highlight a distinction between chaotic “transience” and “itineracy.”.
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  30.  17
    Modularity, Segregation, and Interactions.Karl J. Friston - 1999 - Behavioral and Brain Sciences 22 (1):99-100.
    This commentary considers how far one can go in making inferences about functional modularity or segregation, based on the sorts of analyses used by Caplan & Waters in relation to the underlying neuronal infrastructure. Specifically, an attempt is made to relate the “functionalist” approach adopted in the target article to “neuroreductionist” perspectives on the same issue.
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  31.  2
    Empirical Bayes for Group Studies: A Reproducibility Study.Vladimir Litvak, Marta Garrido, Peter Zeidman & Karl Friston - 2015 - Frontiers in Human Neuroscience 9.
  32.  1
    Mapping Smoking Addiction Using Effective Connectivity Analysis.Rongxiang Tang, Adeel Razi, Karl J. Friston & Yi-Yuan Tang - 2016 - Frontiers in Human Neuroscience 10.
  33.  1
    Studying Brain Function with Neuroimaging.Christopher D. Frith & Karl J. Friston - 1997 - In M. D. Rugg (ed.), Cognitive Neuroscience. MIT Press. pp. 169--195.
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  34. Forum: Science & Society 489 Brain Network: Social Media and the Cognitive Scientist.Wei Ji Ma, Josef Perner, Johannes Roessler, Karl J. Friston, Motomu Katsurakawa, Katsuyuki Sakai, Nathalie Tzourio-Mazoyer, Laure Zago, Martin M. Monti & Lawrence M. Parsons - 2012 - Trends in Cognitive Sciences 16:404-406.
  35. A Goal-Directed Bayesian Framework for Categorization.Francesco Rigoli, Giovanni Pezzulo, Raymond Dolan & Karl Friston - 2017 - Frontiers in Psychology 8.
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