Computational psychiatry: the brain as a phantastic organ.

By Karl J. Friston, Klaas E. Stephan, R. Montague, R. J. Dolan. Lancet psychiatry, 2014

443 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/23f61398166030346d0f99c94a3106ae4f3ec982

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In Cognitive Neuroscience

Citations in the corpus

Revealing Neurocomputational Mechanisms of Reinforcement Learning and Decision-Making With the hBayesDM Package (2016, background): “Toward this end, a new ﬁeld, called computational psychiatry (e.g., Friston et al., 2014; Montague et al., 2012), aims to discover the neurocognitive mechanisms underlying normal and abnormal conditions by combining cutting-edge neurobiological and computational tools.”
From cognitivism to autopoiesis: towards a computational framework for the embodied mind (2016, background): “…dopamine, norepinephrine, and other neurotransmitters are argued to communicate the ﬁdelity or precision of beliefs (Feld-man and Friston 2010; Friston et al. 2014a,b, 2012a,b; Kanai et al. 2015; Moran et al. 2013), individually these systems can be more or less specialized for a collo-quial…”
Hierarchical Active Inference: A Theory of Motivated Control (2018, background): “Many other things can ‘go wrong’ in hierarchical inference, thus producing various psychiatric and psychopathological disorders [82].”
REBUS and the Anarchic Brain: Toward a Unified Model of the Brain Action of Psychedelics (2019, background): “MDMA is not a classic psychedelic, but, like psilocy-bin (Kometer et al., 2012), its positive mood effects have been linked to increased 5-HT2AR activity (van Wel et al., 2012).”
The Virtual Epileptic Patient: Individualized whole‐brain models of epilepsy spread (2017, background): “One solution to this issue that has been proposed by several groups is to link the interpretation of neuroimaging signals to computational brain models (Deco et al., 2011; Friston et al., 2014; Jirsa et al., 2010; Stephan and Mathys, 2014; Stephan et al., 2015).”
World Discovery Models (2019, unknown): “Within cognitive neuroscience, the theory of statistical predictive mind states that the brain, like scientists, constructs and maintains a set of hypotheses over its representation of the world (Friston et al., 2014).”
Vanilla PP for Philosophers: A Primer on Predictive Processing (2017, background): “Deviances in precision estimates have been linked to attention and motor disorders, and raised in the context of autism and schizophrenia (see Gonzalez-Gadea et al. 2015; Palmer et al. 2015; Van de Cruys et al. 2014; Friston et al. 2014; Adams et al. 2016).”