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  1. Whatever next? Predictive brains, situated agents, and the future of cognitive science.Andy Clark - 2013 - Behavioral and Brain Sciences 36 (3):181-204.
    Brains, it has recently been argued, are essentially prediction machines. They are bundles of cells that support perception and action by constantly attempting to match incoming sensory inputs with top-down expectations or predictions. This is achieved using a hierarchical generative model that aims to minimize prediction error within a bidirectional cascade of cortical processing. Such accounts offer a unifying model of perception and action, illuminate the functional role of attention, and may neatly capture the special contribution of cortical processing to (...)
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  • Getting Warmer: Predictive Processing and the Nature of Emotion.Sam Wilkinson, George Deane, Kathryn Nave & Andy Clark - 2019 - In Laura Candiotto (ed.), The Value of Emotions for Knowledge. Springer Verlag. pp. 101-119.
    Predictive processing accounts of neural function view the brain as a kind of prediction machine that forms models of its environment in order to anticipate the upcoming stream of sensory stimulation. These models are then continuously updated in light of incoming error signals. Predictive processing has offered a powerful new perspective on cognition, action, and perception. In this chapter we apply the insights from predictive processing to the study of emotions. The upshot is a picture of emotion as inseparable from (...)
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  • Cognitive, social, and physiological determinants of emotional state.Stanley Schachter & Jerome Singer - 1962 - Psychological Review 69 (5):379-399.
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  • "Cognitive, social, and physiological determinants of emotional state": Erratum.Stanley Schachter & Jerome Singer - 1963 - Psychological Review 70 (1):121-122.
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  • Describing one’s subjective experience in the second person: An interview method for the science of consciousness. [REVIEW]Claire Petitmengin - 2006 - Phenomenology and the Cognitive Sciences 5 (3-4):229-269.
    This article presents an interview method which enables us to bring a person, who may not even have been trained, to become aware of his or her subjective experience, and describe it with great precision. It is focused on the difficulties of becoming aware of one’s subjective experience and describing it, and on the processes used by this interview technique to overcome each of these difficulties. The article ends with a discussion of the criteria governing the validity of the descriptions (...)
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  • Ego-Dissolution and Psychedelics: Validation of the Ego-Dissolution Inventory.Matthew M. Nour, Lisa Evans, David Nutt & Robin L. Carhart-Harris - 2016 - Frontiers in Human Neuroscience 10.
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  • 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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  • Being No One: The Self-Model Theory of Subjectivity.Thomas Metzinger (ed.) - 2003 - MIT Press.
    " In Being No One, Metzinger, a German philosopher, draws strongly on neuroscientific research to present a representationalist and functional analysis of...
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  • 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.
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  • ‘Seeing the Dark’: Grounding Phenomenal Transparency and Opacity in Precision Estimation for Active Inference.Jakub Limanowski & Karl Friston - 2018 - Frontiers in Psychology 9.
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  • Minimal self-models and the free energy principle.Jakub Limanowski & Felix Blankenburg - 2013 - Frontiers in Human Neuroscience 7.
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  • Attenuating oneself.Jakub Limanowski & Karl Friston - 2020 - Philosophy and the Mind Sciences 1 (I):1-16.
    In this paper, we address reports of “selfless” experiences from the perspective of active inference and predictive processing. Our argument builds upon grounding self-modelling in active inference as action planning and precision control within deep generative models – thus establishing a link between computational mechanisms and phenomenal selfhood. We propose that “selfless” experiences can be interpreted as cases in which normally congruent processes of computational and phenomenal self-modelling diverge in an otherwise conscious system. We discuss two potential mechanisms – within (...)
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  • Being for no-one.Chris Letheby - 2020 - Philosophy and the Mind Sciences 1 (I):1-26.
    Can there be phenomenal consciousness without self-consciousness? Strong intuitions and prominent theories of consciousness say “no”: experience requires minimal self-awareness, or “subjectivity”. This “subjectivity principle” faces apparent counterexamples in the form of anomalous mental states claimed to lack self-consciousness entirely, such as “inserted thoughts” in schizophrenia and certain mental states in depersonalization disorder. However, Billon & Kriegel have defended SP by arguing that while some of these mental states may be totally selfless, those states are not phenomenally conscious and thus (...)
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  • Am I Self-Conscious?Karl Friston - 2018 - Frontiers in Psychology 9.
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  • Consciousness as Generative Entanglement.Andy Clark - 2019 - Journal of Philosophy 116 (12):645-662.
    Recent work in cognitive and computational neuroscience depicts the human brain as a complex, multi-layer prediction engine. This family of models has had great success in accounting for a wide variety of phenomena involving perception, action, and attention. But despite their clear promise as accounts of the neurocomputational origins of perceptual experience, they have not yet been leveraged so as to shed light on the so-called “hard problem” of consciousness—the problem of explaining why and how the world is subjectively experienced (...)
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  • Self-projection and the brain.Randy L. Buckner & Daniel C. Carroll - 2007 - Trends in Cognitive Sciences 11 (2):49-57.
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  • Planning as inference.Matthew Botvinick & Marc Toussaint - 2012 - Trends in Cognitive Sciences 16 (10):485-488.
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  • The Ego Tunnel: The Science of Mind and the Myth of the Self.Thomas Metzinger - 2009 - Basic Books.
    Philosopher and scientist Thomas Metzinger argues that neuroscience's picture of the "self" as an emergent phenomenon of our biology and the attendant fact that the "self" can be manipulated--and even controlled--raises novel and serious ...
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  • Active Inference and the Primacy of the ‘I Can’.Jelle Bruineberg - 2017 - Philosophy and Predictive Processing.
    This paper deals with the question of agency and intentionality in the context of the free-energy principle. The free-energy principle is a system-theoretic framework for understanding living self-organizing systems and how they relate to their environments. I will first sketch the main philosophical positions in the literature: a rationalist Helmholtzian interpretation (Hohwy 2013; Clark 2013), a cybernetic interpretation (Seth 2015b) and the enactive affordance-based interpretation (Bruineberg and Rietveld 2014; Bruineberg et al. 2016) and will then show how agency and intentionality (...)
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  • Self unbound: ego dissolution in psychedelic experience.Chris Letheby & Philip Gerrans - 2017 - Neuroscience of Consciousness 3:1-11.
    Users of psychedelic drugs often report that their sense of being a self or ‘I’ distinct from the rest of the world has diminished or altogether dissolved. Neuroscientific study of such ‘ego dissolution’ experiences offers a window onto the nature of self-awareness. We argue that ego dissolution is best explained by an account that explains self-awareness as resulting from the integrated functioning of hierarchical predictive models which posit the existence of a stable and unchanging entity to which representations are bound. (...)
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  • The Problem of Mental Action.Thomas Metzinger - 2017 - Philosophy and Predicitive Processing.
    In mental action there is no motor output to be controlled and no sensory input vector that could be manipulated by bodily movement. It is therefore unclear whether this specific target phenomenon can be accommodated under the predictive processing framework at all, or if the concept of “active inference” can be adapted to this highly relevant explanatory domain. This contribution puts the phenomenon of mental action into explicit focus by introducing a set of novel conceptual instruments and developing a first (...)
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  • The Sense of Self in the Phenomenology of Agency and Perception.Jakob Hohwy - 2007 - PSYCHE: An Interdisciplinary Journal of Research On Consciousness 13.
    The phenomenology of agency and perception is probably underpinned by a common cognitive system based on generative models and predictive coding. I defend the hypothesis that this cognitive system explains core aspects of the sense of having a self in agency and perception. In particular, this cognitive model explains the phenomenological notion of a minimal self as well as a notion of the narrative self. The proposal is related to some influential studies of overall brain function, and to psychopathology. These (...)
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  • Vanilla PP for Philosophers: A Primer on Predictive Processing.Wanja Wiese & Thomas Metzinger - 2017 - Philosophy and Predictive Processing.
    The goal of this short chapter, aimed at philosophers, is to provide an overview and brief explanation of some central concepts involved in predictive processing (PP). Even those who consider themselves experts on the topic may find it helpful to see how the central terms are used in this collection. To keep things simple, we will first informally define a set of features important to predictive processing, supplemented by some short explanations and an alphabetic glossary. -/- The features described here (...)
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