Literature DB >> 20185294

Computational models of cognitive control.

Randall C O'Reilly1, Seth A Herd, Wolfgang M Pauli.   

Abstract

Cognitive control refers to the ability to perform task-relevant processing in the face of other distractions or other forms of interference, in the absence of strong environmental support. It depends on the integrity of the prefrontal cortex and associated biological structures (e.g., the basal ganglia). Computational models have played an influential role in developing our understanding of this system, and we review current developments in three major areas: dynamic gating of prefrontal representations, hierarchies in the prefrontal cortex, and reward, motivation, and goal-related processing in prefrontal cortex. Models in these and other areas are advancing the field further forward. (c) 2010 Elsevier Ltd. All rights reserved.

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Year:  2010        PMID: 20185294      PMCID: PMC2862817          DOI: 10.1016/j.conb.2010.01.008

Source DB:  PubMed          Journal:  Curr Opin Neurobiol        ISSN: 0959-4388            Impact factor:   6.627


  51 in total

Review 1.  The basal ganglia: a vertebrate solution to the selection problem?

Authors:  P Redgrave; T J Prescott; K Gurney
Journal:  Neuroscience       Date:  1999       Impact factor: 3.590

2.  Inferior temporal, prefrontal, and hippocampal contributions to visual working memory maintenance and associative memory retrieval.

Authors:  Charan Ranganath; Michael X Cohen; Cathrine Dam; Mark D'Esposito
Journal:  J Neurosci       Date:  2004-04-21       Impact factor: 6.167

Review 3.  Biologically based computational models of high-level cognition.

Authors:  Randall C O'Reilly
Journal:  Science       Date:  2006-10-06       Impact factor: 47.728

4.  Prefrontal organization of cognitive control according to levels of abstraction.

Authors:  Kalina Christoff; Kamyar Keramatian; Alan M Gordon; Rachelle Smith; Burkhard Mädler
Journal:  Brain Res       Date:  2009-06-06       Impact factor: 3.252

Review 5.  Goal-directed instrumental action: contingency and incentive learning and their cortical substrates.

Authors:  B W Balleine; A Dickinson
Journal:  Neuropharmacology       Date:  1998 Apr-May       Impact factor: 5.250

6.  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

Review 7.  Computational perspectives on dopamine function in prefrontal cortex.

Authors:  Jonathan D Cohen; Todd S Braver; Joshua W Brown
Journal:  Curr Opin Neurobiol       Date:  2002-04       Impact factor: 6.627

8.  Left, but not right, rostrolateral prefrontal cortex meets a stringent test of the relational integration hypothesis.

Authors:  Silvia A Bunge; Espen Hauk Helskog; Carter Wendelken
Journal:  Neuroimage       Date:  2009-02-11       Impact factor: 6.556

9.  A neuropsychological theory of multiple systems in category learning.

Authors:  F G Ashby; L A Alfonso-Reese; A U Turken; E M Waldron
Journal:  Psychol Rev       Date:  1998-07       Impact factor: 8.934

10.  Simple substrates for complex cognition.

Authors:  Peter Dayan
Journal:  Front Neurosci       Date:  2008-12-15       Impact factor: 4.677

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  21 in total

Review 1.  Dysfunctions of decision-making and cognitive control as transdiagnostic mechanisms of mental disorders: advances, gaps, and needs in current research.

Authors:  Thomas Goschke
Journal:  Int J Methods Psychiatr Res       Date:  2014-01       Impact factor: 4.035

2.  A cortical network for the encoding of object change.

Authors:  Nicholas C Hindy; Sarah H Solomon; Gerry T M Altmann; Sharon L Thompson-Schill
Journal:  Cereb Cortex       Date:  2013-10-14       Impact factor: 5.357

Review 3.  Cortical high-density counterstream architectures.

Authors:  Kenneth Knoblauch; Zoltán Toroczkai; Henry Kennedy; Nikola T Markov; Mária Ercsey-Ravasz; David C Van Essen
Journal:  Science       Date:  2013-11-01       Impact factor: 47.728

4.  Causal Interactions Within a Frontal-Cingulate-Parietal Network During Cognitive Control: Convergent Evidence from a Multisite-Multitask Investigation.

Authors:  Weidong Cai; Tianwen Chen; Srikanth Ryali; John Kochalka; Chiang-Shan R Li; Vinod Menon
Journal:  Cereb Cortex       Date:  2015-03-15       Impact factor: 5.357

5.  The neural basis of motivational influences on cognitive control.

Authors:  Cameron Parro; Matthew L Dixon; Kalina Christoff
Journal:  Hum Brain Mapp       Date:  2018-08-18       Impact factor: 5.038

6.  The dynamic balance between cognitive flexibility and stability: the influence of local changes in reward expectation and global task context on voluntary switch rate.

Authors:  Kerstin Fröber; Lisa Raith; Gesine Dreisbach
Journal:  Psychol Res       Date:  2017-09-22

7.  Hemispheric Asymmetry of Globus Pallidus Relates to Alpha Modulation in Reward-Related Attentional Tasks.

Authors:  Cecilia Mazzetti; Tobias Staudigl; Tom R Marshall; Johanna M Zumer; Sean J Fallon; Ole Jensen
Journal:  J Neurosci       Date:  2019-10-02       Impact factor: 6.167

Review 8.  Habits, action sequences and reinforcement learning.

Authors:  Amir Dezfouli; Bernard W Balleine
Journal:  Eur J Neurosci       Date:  2012-04       Impact factor: 3.386

9.  Understanding human original actions directed at real-world goals: the role of the lateral prefrontal cortex.

Authors:  Tatiana Sitnikova; Bruce R Rosen; Louis-David Lord; W Caroline West
Journal:  Neuroimage       Date:  2014-09-16       Impact factor: 6.556

10.  How Sequentially Changing Reward Prospect Modulates Meta-control: Increasing Reward Prospect Promotes Cognitive Flexibility.

Authors:  Kerstin Fröber; Gesine Dreisbach
Journal:  Cogn Affect Behav Neurosci       Date:  2021-06       Impact factor: 3.282

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