Literature DB >> 20435006

Frontal cortex and the discovery of abstract action rules.

David Badre1, Andrew S Kayser, Mark D'Esposito.   

Abstract

Although we often encounter circumstances with which we have no prior experience, we rapidly learn how to behave in these novel situations. Such adaptive behavior relies on abstract behavioral rules that are generalizable, rather than concrete rules mapping specific cues to specific responses. Although the frontal cortex is known to support concrete rule learning, less well understood are the neural mechanisms supporting the acquisition of abstract rules. Here, we use a reinforcement learning paradigm to demonstrate that more anterior regions along the rostro-caudal axis of frontal cortex support rule learning at higher levels of abstraction. Moreover, these results indicate that when humans confront new rule learning problems, this rostro-caudal division of labor supports the search for relationships between context and action at multiple levels of abstraction simultaneously. Copyright 2010 Elsevier Inc. All rights reserved.

Entities:  

Mesh:

Year:  2010        PMID: 20435006      PMCID: PMC2990347          DOI: 10.1016/j.neuron.2010.03.025

Source DB:  PubMed          Journal:  Neuron        ISSN: 0896-6273            Impact factor:   17.173


  70 in total

1.  Uncertainty-based competition between prefrontal and dorsolateral striatal systems for behavioral control.

Authors:  Nathaniel D Daw; Yael Niv; Peter Dayan
Journal:  Nat Neurosci       Date:  2005-11-06       Impact factor: 24.884

Review 2.  How we use rules to select actions: a review of evidence from cognitive neuroscience.

Authors:  Silvia A Bunge
Journal:  Cogn Affect Behav Neurosci       Date:  2004-12       Impact factor: 3.282

3.  Time-varying covariance of neural activities recorded in striatum and frontal cortex as monkeys perform sequential-saccade tasks.

Authors:  N Fujii; A M Graybiel
Journal:  Proc Natl Acad Sci U S A       Date:  2005-06-14       Impact factor: 11.205

4.  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

5.  Dynamics of frontal, striatal, and hippocampal systems during rule learning.

Authors:  Carol A Seger; Corinna M Cincotta
Journal:  Cereb Cortex       Date:  2005-12-22       Impact factor: 5.357

6.  Computational and neurobiological mechanisms underlying cognitive flexibility.

Authors:  David Badre; Anthony D Wagner
Journal:  Proc Natl Acad Sci U S A       Date:  2006-04-21       Impact factor: 11.205

Review 7.  Anatomy of a decision: striato-orbitofrontal interactions in reinforcement learning, decision making, and reversal.

Authors:  Michael J Frank; Eric D Claus
Journal:  Psychol Rev       Date:  2006-04       Impact factor: 8.934

Review 8.  Lateral prefrontal cortex: architectonic and functional organization.

Authors:  Michael Petrides
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-04-29       Impact factor: 6.237

9.  Differential involvement of neurons in the dorsal and ventral premotor cortex during processing of visual signals for action planning.

Authors:  Eiji Hoshi; Jun Tanji
Journal:  J Neurophysiol       Date:  2006-02-22       Impact factor: 2.714

10.  Broca's area and the hierarchical organization of human behavior.

Authors:  Etienne Koechlin; Thomas Jubault
Journal:  Neuron       Date:  2006-06-15       Impact factor: 17.173

View more
  106 in total

1.  Abstract rule learning: the differential effects of lesions in frontal cortex.

Authors:  Andrew S Kayser; Mark D'Esposito
Journal:  Cereb Cortex       Date:  2012-01-31       Impact factor: 5.357

2.  Parts to principles: anatomical origins of prefrontal organization.

Authors:  Christopher H Chatham; David Badre
Journal:  Cortex       Date:  2012-06-01       Impact factor: 4.027

3.  Rostrolateral prefrontal cortex: domain-general or domain-sensitive?

Authors:  Carter Wendelken; David Chung; Silvia A Bunge
Journal:  Hum Brain Mapp       Date:  2011-08-10       Impact factor: 5.038

4.  How the brain learns how few are "many": An fMRI study of the flexibility of quantifier semantics.

Authors:  Stefan Heim; Corey T McMillan; Robin Clark; Laura Baehr; Kylie Ternes; Christopher Olm; Nam Eun Min; Murray Grossman
Journal:  Neuroimage       Date:  2015-10-17       Impact factor: 6.556

5.  Multiple gates on working memory.

Authors:  Christopher H Chatham; David Badre
Journal:  Curr Opin Behav Sci       Date:  2015-02-01

6.  Neural representation of abstract task structure during generalization.

Authors:  Avinash R Vaidya; Henry M Jones; Johanny Castillo; David Badre
Journal:  Elife       Date:  2021-03-17       Impact factor: 8.140

7.  The cerebellum does more than sensory prediction error-based learning in sensorimotor adaptation tasks.

Authors:  Peter A Butcher; Richard B Ivry; Sheng-Han Kuo; David Rydz; John W Krakauer; Jordan A Taylor
Journal:  J Neurophysiol       Date:  2017-06-21       Impact factor: 2.714

Review 8.  How cognitive theory guides neuroscience.

Authors:  Michael J Frank; David Badre
Journal:  Cognition       Date:  2014-12-08

9.  Generic inhibition of the selected movement and constrained inhibition of nonselected movements during response preparation.

Authors:  Ludovica Labruna; Florent Lebon; Julie Duque; Pierre-Alexandre Klein; Christian Cazares; Richard B Ivry
Journal:  J Cogn Neurosci       Date:  2013-09-18       Impact factor: 3.225

10.  Corticostriatal output gating during selection from working memory.

Authors:  Christopher H Chatham; Michael J Frank; David Badre
Journal:  Neuron       Date:  2014-02-19       Impact factor: 17.173

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.