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Psychoanalysis Representation and Neuroscience: the Freudian unconscious and the Bayesian brain

In A. Fotopoulu, D. Pfaff & M. Conway (eds.), From the Couch to the Lab: Psychoanalysis, Neuroscience and Cognitive Psychology in Dialoge. Oxford University Press (2012)

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  1. Can Anosognosia for Hemiplegia be Explained as Motivated Self-Deception?Andrew C. Sims - 2017 - Review of Philosophy and Psychology 8 (2):337-353.
    Anosognosia for hemiplegia is the denial of neurologically-caused paralysis, and it often co-occurs with a number of distortions of belief and emotion such as somatoparaphrenia and an exaggeration of negative affect towards minor health complaints. The salience of these latter symptoms led early investigators to propose explanations of AHP which construed it as a process of motivated self-deception against the overwhelming anxiety and depression that knowledge of deficit would otherwise cause, and which was observed in hemiplegic patients without the anosognosia. (...)
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  • Hierarchical Recursive Organization and the Free Energy Principle: From Biological Self-Organization to the Psychoanalytic Mind.Patrick Connolly & Vasi van Deventer - 2017 - Frontiers in Psychology 8.
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  • Expected Free Energy Formalizes Conflict Underlying Defense in Freudian Psychoanalysis.Patrick Connolly - 2018 - Frontiers in Psychology 9.
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  • Free Energy and Virtual Reality in Psychoanalysis and Neuroscience: A Complexity Theory of Dreaming and Mental Disorder.Jim Hopkins - 2016 - Frontiers in Psychology 7.
    This paper compares the free energy neuroscience now advocated by Karl Friston and his colleagues with that hypothesised by Freud, arguing that Freud's notions of conflict and trauma can be understood in terms of computational complexity. It relates Hobson and Friston's work on dreaming and the reduction of complexity to contemporary accounts of dreaming and the consolidation of memory, and advances the hypothesis that mental disorder can be understood in terms of computational complexity and the mechanisms, including synaptic pruning, that (...)
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