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  1. Counterfactual cognition and psychosis: adding complexity to predictive processing accounts.Sofiia Rappe & Sam Wilkinson - 2023 - Philosophical Psychology 36 (2):356-379.
    Over the last decade or so, several researchers have considered the predictive processing framework (PPF) to be a useful perspective from which to shed some much-needed light on the mechanisms behind psychosis. Most approaches to psychosis within PPF come down to the idea of the “atypical” brain generating inaccurate hypotheses that the “typical” brain does not generate, either due to a systematic top-down processing bias or more general precision weighting breakdown. Strong at explaining common individual symptoms of psychosis, such approaches (...)
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  • Using Bayesian modelling to uncover the behavioural and neural mechanisms of social learning and decision-making in healthy controls & psychiatric disorders.Lara Henco - 2020 - Dissertation, Ludwig Maximilians Universität, München
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  • Trauma or Drama: A Predictive Processing Perspective on the Continuum of Stress.Valery Krupnik - 2020 - Frontiers in Psychology 11.
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  • Learned uncertainty: The free energy principle in anxiety.H. T. McGovern, Alexander De Foe, Hannah Biddell, Pantelis Leptourgos, Philip Corlett, Kavindu Bandara & Brendan T. Hutchinson - 2022 - Frontiers in Psychology 13.
    Generalized anxiety disorder is among the world’s most prevalent psychiatric disorders and often manifests as persistent and difficult to control apprehension. Despite its prevalence, there is no integrative, formal model of how anxiety and anxiety disorders arise. Here, we offer a perspective derived from the free energy principle; one that shares similarities with established constructs such as learned helplessness. Our account is simple: anxiety can be formalized as learned uncertainty. A biological system, having had persistent uncertainty in its past, will (...)
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  • Psychoanalytic psychotherapies and the free energy principle.Thomas Rabeyron - 2022 - Frontiers in Human Neuroscience 16:929940.
    In this paper I propose a model of the fundamental components of psychoanalytic psychotherapies that I try to explicate with contemporary theories of the Bayesian brain and the Free Energy Principle (FEP). I first show that psychoanalytic therapies require a setting (made up of several envelopes), a particular psychic state and specific processes (transference, free association, dreaming, play, reflexivity and narrativity) in order to induce psychic transformations. I then analyze how these processes of transformations operate and how they can be (...)
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  • Attentional Control in Subclinical Anxiety and Depression: Depression Symptoms Are Associated With Deficits in Target Facilitation, Not Distractor Inhibition.Alexandra C. Pike, Frida A. B. Printzlau, Alexander H. von Lautz, Catherine J. Harmer, Mark G. Stokes & MaryAnn P. Noonan - 2020 - Frontiers in Psychology 11.
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