Literature DB >> 18791075

Schizophrenia: a computational reinforcement learning perspective.

Michael J Frank1.   

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Year:  2008        PMID: 18791075      PMCID: PMC2632497          DOI: 10.1093/schbul/sbn123

Source DB:  PubMed          Journal:  Schizophr Bull        ISSN: 0586-7614            Impact factor:   9.306


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  59 in total

1.  Making working memory work: a computational model of learning in the prefrontal cortex and basal ganglia.

Authors:  Randall C O'Reilly; Michael J Frank
Journal:  Neural Comput       Date:  2006-02       Impact factor: 2.026

2.  Reversal learning in Parkinson's disease depends on medication status and outcome valence.

Authors:  Roshan Cools; Lee Altamirano; Mark D'Esposito
Journal:  Neuropsychologia       Date:  2006-05-26       Impact factor: 3.139

3.  Cortical substrates for exploratory decisions in humans.

Authors:  Nathaniel D Daw; John P O'Doherty; Peter Dayan; Ben Seymour; Raymond J Dolan
Journal:  Nature       Date:  2006-06-15       Impact factor: 49.962

4.  Tonic dopamine: opportunity costs and the control of response vigor.

Authors:  Yael Niv; Nathaniel D Daw; Daphna Joel; Peter Dayan
Journal:  Psychopharmacology (Berl)       Date:  2006-10-10       Impact factor: 4.530

5.  A mechanistic account of striatal dopamine function in human cognition: psychopharmacological studies with cabergoline and haloperidol.

Authors:  Michael J Frank; Randall C O'Reilly
Journal:  Behav Neurosci       Date:  2006-06       Impact factor: 1.912

6.  Dopamine modulation in the basal ganglia locks the gate to working memory.

Authors:  Aaron J Gruber; Peter Dayan; Boris S Gutkin; Sara A Solla
Journal:  J Comput Neurosci       Date:  2006-04-22       Impact factor: 1.621

7.  Genetic evidence implicating DARPP-32 in human frontostriatal structure, function, and cognition.

Authors:  Andreas Meyer-Lindenberg; Richard E Straub; Barbara K Lipska; Beth A Verchinski; Terry Goldberg; Joseph H Callicott; Michael F Egan; Stephen S Huffaker; Venkata S Mattay; Bhaskar Kolachana; Joel E Kleinman; Daniel R Weinberger
Journal:  J Clin Invest       Date:  2007-02-08       Impact factor: 14.808

8.  Dopamine, prediction error and associative learning: a model-based account.

Authors:  Andrew Smith; Ming Li; Sue Becker; Shitij Kapur
Journal:  Network       Date:  2006-03       Impact factor: 1.273

9.  Gene-gene interaction associated with neural reward sensitivity.

Authors:  Juliana Yacubian; Tobias Sommer; Katrin Schroeder; Jan Gläscher; Raffael Kalisch; Boris Leuenberger; Dieter F Braus; Christian Büchel
Journal:  Proc Natl Acad Sci U S A       Date:  2007-05-02       Impact factor: 11.205

Review 10.  The dopamine system and the pathophysiology of schizophrenia: a basic science perspective.

Authors:  Yukiori Goto; Anthony A Grace
Journal:  Int Rev Neurobiol       Date:  2007       Impact factor: 3.230

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  17 in total

1.  Dopaminergic circuitry and risk/reward decision making: implications for schizophrenia.

Authors:  Colin M Stopper; Stan B Floresco
Journal:  Schizophr Bull       Date:  2014-11-17       Impact factor: 9.306

2.  Deficits in reinforcement learning but no link to apathy in patients with schizophrenia.

Authors:  Matthias N Hartmann-Riemer; Steffen Aschenbrenner; Magdalena Bossert; Celina Westermann; Erich Seifritz; Philippe N Tobler; Matthias Weisbrod; Stefan Kaiser
Journal:  Sci Rep       Date:  2017-01-10       Impact factor: 4.379

3.  Deficits in predictive coding underlie hallucinations in schizophrenia.

Authors:  Guillermo Horga; Kelly C Schatz; Anissa Abi-Dargham; Bradley S Peterson
Journal:  J Neurosci       Date:  2014-06-11       Impact factor: 6.167

4.  A bayesian foundation for individual learning under uncertainty.

Authors:  Christoph Mathys; Jean Daunizeau; Karl J Friston; Klaas E Stephan
Journal:  Front Hum Neurosci       Date:  2011-05-02       Impact factor: 3.169

Review 5.  Cognition and Reward Circuits in Schizophrenia: Synergistic, Not Separate.

Authors:  A J Robison; Katharine N Thakkar; Vaibhav A Diwadkar
Journal:  Biol Psychiatry       Date:  2019-10-03       Impact factor: 13.382

6.  Cortical Volume Differences in Subjects at Risk for Psychosis Are Driven by Surface Area.

Authors:  Roman Buechler; Diana Wotruba; Lars Michels; Anastasia Theodoridou; Sibylle Metzler; Susanne Walitza; Jürgen Hänggi; Spyros Kollias; Wulf Rössler; Karsten Heekeren
Journal:  Schizophr Bull       Date:  2020-12-01       Impact factor: 9.306

7.  Drug discovery in psychiatric illness: mining for gold.

Authors:  Greg I Elmer; Neri Kafkafi
Journal:  Schizophr Bull       Date:  2009-03-18       Impact factor: 9.306

8.  Using Intermediate Cognitive Endpoints to Facilitate Translational Research in Psychosis.

Authors:  Gary Gilmour; Francois Gastambide; Hugh M Marston; Mark E Walton
Journal:  Curr Opin Behav Sci       Date:  2015-08-01

9.  Dissociation of response and feedback negativity in schizophrenia: electrophysiological and computational evidence for a deficit in the representation of value.

Authors:  Sarah E Morris; Clay B Holroyd; Monica C Mann-Wrobel; James M Gold
Journal:  Front Hum Neurosci       Date:  2011-10-28       Impact factor: 3.169

10.  Medial-Frontal Stimulation Enhances Learning in Schizophrenia by Restoring Prediction Error Signaling.

Authors:  Robert M G Reinhart; Julia Zhu; Sohee Park; Geoffrey F Woodman
Journal:  J Neurosci       Date:  2015-09-02       Impact factor: 6.167

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