38 found
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  1.  72
    From Cognitivism to Autopoiesis: Towards a Computational Framework for the Embodied Mind.Micah Allen & Karl J. Friston - 2018 - Synthese 195 (6):2459-2482.
    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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  2. Free-Energy and the Brain.Karl J. Friston & Klaas E. Stephan - 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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  3. Computational Psychiatry.P. Read Montague, Raymond J. Dolan, Karl J. Friston & Peter Dayan - 2012 - Trends in Cognitive Sciences 16 (1):72-80.
  4.  25
    Multiscale Integration: Beyond Internalism and Externalism.Maxwell J. D. Ramstead, Michael D. Kirchhoff, Axel Constant & Karl J. Friston - forthcoming - Synthese:1-30.
    We present a multiscale integrationist interpretation of the boundaries of cognitive systems, using the Markov blanket formalism of the variational free energy principle. This interpretation is intended as a corrective for the philosophical debate over internalist and externalist interpretations of cognitive boundaries; we stake out a compromise position. We first survey key principles of new radical views of cognition. We then describe an internalist interpretation premised on the Markov blanket formalism. Having reviewed these accounts, we develop our positive multiscale account. (...)
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  5.  18
    Hierarchical Active Inference: A Theory of Motivated Control.Giovanni Pezzulo, Francesco Rigoli & Karl J. Friston - 2018 - Trends in Cognitive Sciences 22 (4):294-306.
  6.  36
    Consciousness, Dreams, and Inference: The Cartesian Theatre Revisited.J. Allan Hobson & Karl J. Friston - 2014 - Journal of Consciousness Studies 21 (1-2):6-32.
    This paper considers the Cartesian theatre as a metaphor for the virtual reality models that the brain uses to make inferences about the world. This treatment derives from our attempts to understand dreaming and waking consciousness in terms of free energy minimization. The idea here is that the Cartesian theatre is not observed by an internal audience but furnishes a theatre in which fictive narratives and fantasies can be rehearsed and tested against sensory evidence. We suppose the brain is driven (...)
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  7.  41
    Thinking Through Other Minds: A Variational Approach to Cognition and Culture.Samuel P. L. Veissière, Axel Constant, Maxwell J. D. Ramstead, Karl J. Friston & Laurence J. Kirmayer - 2020 - Behavioral and Brain Sciences 43:1-97.
    The processes underwriting the acquisition of culture remain unclear. How are shared habits, norms, and expectations learned and maintained with precision and reliability across large-scale sociocultural ensembles? Is there a unifying account of the mechanisms involved in the acquisition of culture? Notions such as “shared expectations,” the “selective patterning of attention and behaviour,” “cultural evolution,” “cultural inheritance,” and “implicit learning” are the main candidates to underpin a unifying account of cognition and the acquisition of culture; however, their interactions require greater (...)
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  8.  19
    The Depressed Brain: An Evolutionary Systems Theory.Paul B. Badcock, Christopher G. Davey, Sarah Whittle, Nicholas B. Allen & Karl J. Friston - 2017 - Trends in Cognitive Sciences 21 (3):182-194.
  9.  32
    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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  10.  21
    Computational Neuropsychology and Bayesian Inference.Thomas Parr, Geraint Rees & Karl J. Friston - 2018 - Frontiers in Human Neuroscience 12.
  11.  23
    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.
  12.  69
    Degeneracy and Cognitive Anatomy.Cathy J. Price & Karl J. Friston - 2002 - Trends in Cognitive Sciences 6 (10):416-421.
  13.  11
    TTOM in Action: Refining the Variational Approach to Cognition and Culture.Samuel P. L. Veissière, Axel Constant, Maxwell J. D. Ramstead, Karl J. Friston & Laurence J. Kirmayer - 2020 - Behavioral and Brain Sciences 43.
    The target article “Thinking Through Other Minds” offered an account of the distinctively human capacity to acquire cultural knowledge, norms, and practices. To this end, we leveraged recent ideas from theoretical neurobiology to understand the human mind in social and cultural contexts. Our aim was both synthetic – building an integrative model adequate to account for key features of cultural learning and adaptation; and prescriptive – showing how the tools developed to explain brain dynamics can be applied to the emergence (...)
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  14.  39
    Degeneracy and Redundancy in Cognitive Anatomy.Karl J. Friston & Cathy J. Price - 2003 - Trends in Cognitive Sciences 7 (4):151-152.
  15.  39
    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.
  16. 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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  17.  4
    Simulating Emotions: An Active Inference Model of Emotional State Inference and Emotion Concept Learning.Ryan Smith, Thomas Parr & Karl J. Friston - 2019 - Frontiers in Psychology 10.
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  18.  18
    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.
  19.  19
    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.
  20. The Pragmatic Turn: Toward Action-Oriented Views in Cognitive Science.K. Engel Andreas, J. Friston Karl & Kragic Danica (eds.) - 2016 - MIT Press.
  21.  26
    Perception, as You Make It.David W. Vinson, Drew H. Abney, Dima Amso, Anthony Chemero, James E. Cutting, Rick Dale, Jonathan B. Freeman, Laurie B. Feldman, Karl J. Friston, Shaun Gallagher, J. Scott Jordan, Liad Mudrik, Sasha Ondobaka, Daniel C. Richardson, Ladan Shams, Maggie Shiffrar & Michael J. Spivey - 2016 - Behavioral and Brain Sciences 39.
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  22.  72
    Modes or Models: A Critique on Independent Component Analysis for fMRI.Karl J. Friston - 1998 - Trends in Cognitive Sciences 2 (10):373-375.
  23.  8
    Relating the “Mirrorness” of Mirror Neurons to Their Origins.James M. Kilner & Karl J. Friston - 2014 - Behavioral and Brain Sciences 37 (2):207-208.
  24.  6
    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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  25.  93
    Bayesian Inference, Predictive Coding and Delusions.Rick A. Adams, Harriet R. Brown & Karl J. Friston - 2014 - Avant: Trends in Interdisciplinary Studies 5 (3):51-88.
  26.  6
    Extended Active Inference: Constructing Predictive Cognition Beyond Skulls.Axel Constant, Andy Clark, Michael Kirchhoff & Karl J. Friston - forthcoming - Mind and Language.
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  27.  10
    Representation Wars: Enacting an Armistice Through Active Inference.Axel Constant, Andy Clark & Karl J. Friston - 2021 - Frontiers in Psychology 11.
    Over the last 30 years, representationalist and dynamicist positions in the philosophy of cognitive science have argued over whether neurocognitive processes should be viewed as representational or not. Major scientific and technological developments over the years have furnished both parties with ever more sophisticated conceptual weaponry. In recent years, an enactive generalization of predictive processing – known as active inference – has been proposed as a unifying theory of brain functions. Since then, active inference has fueled both representationalist and dynamicist (...)
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  28.  24
    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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  29.  41
    What Does Functional MRI Measure? Two Complementary Perspectives.Karl J. Friston - 2012 - Trends in Cognitive Sciences 16 (10):491-492.
  30.  8
    Corrigendum: Rapid Eye Movements in Sleep Furnish a Unique Probe Into Consciousness.Charles C.-H. Hong, James H. Fallon, Karl J. Friston & James C. Harris - 2018 - Frontiers in Psychology 9.
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  31.  12
    Rapid Eye Movements in Sleep Furnish a Unique Probe Into Consciousness.Charles C.-H. Hong, James H. Fallon, Karl J. Friston & James C. Harris - 2018 - Frontiers in Psychology 9.
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  32.  24
    Editorial: Mapping Psychopathology with fMRI and Effective Connectivity Analysis.Baojuan Li, Adeel Razi & Karl J. Friston - 2017 - Frontiers in Human Neuroscience 11.
  33.  26
    Erratum: Computational Psychiatry.P. Read Montague, Raymond J. Dolan, Karl J. Friston & Peter Dayan - 2012 - Trends in Cognitive Sciences 16 (5):306.
  34.  12
    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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  35.  41
    The Value of Uncertainty: An Active Inference Perspective.Giovanni Pezzulo & Karl J. Friston - 2019 - Behavioral and Brain Sciences 42.
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  36.  4
    Long-Term Physical Exercise and Mindfulness Practice in an Aging Population.Yi-Yuan Tang, Yaxin Fan, Qilin Lu, Li-Hai Tan, Rongxiang Tang, Robert M. Kaplan, Marco C. Pinho, Binu P. Thomas, Kewei Chen, Karl J. Friston & Eric M. Reiman - 2020 - Frontiers in Psychology 11.
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  37.  35
    Mapping Smoking Addiction Using Effective Connectivity Analysis.Rongxiang Tang, Adeel Razi, Karl J. Friston & Yi-Yuan Tang - 2016 - Frontiers in Human Neuroscience 10.
  38.  12
    Controlled Optimism: Reply to Sun and Firestone on the Dark Room Problem.Sander Van de Cruys, Karl J. Friston & Andy Clark - 2020 - Trends in Cognitive Sciences 24 (9):680-681.
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