Explaining Delusions: Reducing Uncertainty Through Basic and Computational Neuroscience.

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Systems Neuroscience of Psychosis: Mapping Schizophrenia Symptoms onto Brain Systems.A greater tendency for representation mediated learning in a ketamine mouse model of schizophrenia.

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Explaining Delusions: Reducing Uncertainty Through Basic and Computational Neuroscience.

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Explaining Delusions: Reducing Uncertainty Through Basic and Computational Neuroscience.

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Explaining Delusions: Reducing Uncertainty Through Basic and Computational Neuroscience.

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Explaining Delusions: Reducing Uncertainty Through Basic and Computational Neuroscience.

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Explaining Delusions: Reducing Uncertainty Through Basic and Computational Neuroscience.

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Erin J Feeney

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Jane R Taylor

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Philip R Corlett

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Stephanie M Groman

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P2860

False beliefs about fattening foods can have healthy consequences

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Some evidence for heightened sexual attraction under conditions of high anxiety

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Dysconnection in schizophrenia: from abnormal synaptic plasticity to failures of self-monitoring

Predictive coding in the visual cortex: a functional interpretation of some extra-classical receptive-field effects

A causal link between prediction errors, dopamine neurons and learning.

Jumping to Conclusions About the Beads Task? A Meta-analysis of Delusional Ideation and Data-Gathering.

Delusion formation and insight in the context of affective disturbance.

Mesocortical dopamine neurons operate in distinct temporal domains using multimodal signaling.

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263-272

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scholarly article

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10.1093/SCHBUL/SBW194

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English

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2017-03-01T00:00:00Z

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5605246

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Explaining Delusions: Reducing Uncertainty Through Basic and Computational Neuroscience.

about

P2860

P2860

Explaining Delusions: Reducing Uncertainty Through Basic and Computational Neuroscience.

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