Computational Psychiatry Research Map (CPSYMAP): A New Database for Visualizing Research Papers
Frontiers in Psychiatry, 2020 The field of computational psychiatry is growing in prominence along with recent advances in computational neuroscience, machine learning, and the cumulative scientific understanding of psychiatric disorders.
Ayaka Kato +6 more
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Perceive–Assess–Dose–Safeguard: a safety-gated state–action grammar for psychotherapy micro-decisions in computational psychiatry [PDF]
Frontiers in PsychiatryPsychotherapy unfolds as a sequence of rapid micro-decisions under uncertainty. Within seconds, clinicians integrate verbal, paraverbal, embodied, and relational cues, estimate the patient’s momentary capacity for affective work, choose an intervention ...
Eik Niederlohmann
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The computational psychiatry of reward: Broken brains or misguided minds?
Frontiers in Psychology, 2015 Research into the biological basis of emotional and motivational disorders is in danger of riding roughshod over a patient-centred psychiatry and falling into the dualist errors of the past, i.e. by treating mind and brain as conceptually distinct.
Michael eMoutoussis +3 more
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Computational Psychiatry and the Challenge of Schizophrenia [PDF]
Schizophrenia Bulletin, 2017 Schizophrenia research is plagued by enormous challenges in integrating and analyzing large datasets and difficulties developing formal theories related to the etiology, pathophysiology, and treatment of this disorder. Computational psychiatry provides a path to enhance analyses of these large and complex datasets and to promote the development and ...
John Krystal +2 more
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Bayesian Workflow for Generative Modeling in Computational Psychiatry [PDF]
Computational PsychiatryComputational (generative) modelling of behaviour has considerable potential for clinical applications. In order to unlock the potential of generative models, reliable statistical inference is crucial. For this, Bayesian workflow has been suggested which,
Alexander J. Hess +10 more
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Making Sense of Computational Psychiatry. [PDF]
Int J Neuropsychopharmacol, 2020 AbstractIn psychiatry we often speak of constructing “models.” Here we try to make sense of what such a claim might mean, starting with the most fundamental question: “What is (and isn’t) a model?” We then discuss, in a concrete measurable sense, what it means for a model to be useful. In so doing, we first identify the added value that a computational
Mujica-Parodi LR, Strey HH.
europepmc +5 more sources
Computational Psychiatry Needs Time and Context [PDF]
Annual Review of Psychology, 2022 Eiko Fried, Michael Frank
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Dynamical systems in computational psychiatry: A toy-model to apprehend the dynamics of psychiatric symptoms [PDF]
Frontiers in Psychology, 2023 Christophe Gauld
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Computational Psychiatry Across Species to Study the Biology of Hallucinations [PDF]
JAMA Psychiatry, 2022 Katharina Schmack +2 more
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Computational Psychiatry and Computational Neurology: Seeking for Mechanistic Modeling in Cognitive Impairment and Dementia [PDF]
Frontiers in Computational Neuroscience, 2022 Ludmila Kucikova +4 more
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