Literature DB >> 21909088

Differential roles of human striatum and amygdala in associative learning.

Jian Li1, Daniela Schiller, Geoffrey Schoenbaum, Elizabeth A Phelps, Nathaniel D Daw.   

Abstract

Although the human amygdala and striatum have both been implicated in associative learning, only the striatum's contribution has been consistently computationally characterized. Using a reversal learning task, we found that amygdala blood oxygen level-dependent activity tracked associability as estimated by a computational model, and dissociated it from the striatal representation of reinforcement prediction error. These results extend the computational learning approach from striatum to amygdala, demonstrating their complementary roles in aversive learning.
© 2011 Nature America, Inc. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2011        PMID: 21909088      PMCID: PMC3268261          DOI: 10.1038/nn.2904

Source DB:  PubMed          Journal:  Nat Neurosci        ISSN: 1097-6256            Impact factor:   24.884


  14 in total

Review 1.  The amygdala: vigilance and emotion.

Authors:  M Davis; P J Whalen
Journal:  Mol Psychiatry       Date:  2001-01       Impact factor: 15.992

2.  Amygdala circuitry in attentional and representational processes.

Authors: 
Journal:  Trends Cogn Sci       Date:  1999-02       Impact factor: 20.229

3.  Expectation modulates neural responses to pleasant and aversive stimuli in primate amygdala.

Authors:  Marina A Belova; Joseph J Paton; Sara E Morrison; C Daniel Salzman
Journal:  Neuron       Date:  2007-09-20       Impact factor: 17.173

4.  From fear to safety and back: reversal of fear in the human brain.

Authors:  Daniela Schiller; Ifat Levy; Yael Niv; Joseph E LeDoux; Elizabeth A Phelps
Journal:  J Neurosci       Date:  2008-11-05       Impact factor: 6.167

Review 5.  The role of the striatum in aversive learning and aversive prediction errors.

Authors:  Mauricio R Delgado; Jian Li; Daniela Schiller; Elizabeth A Phelps
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2008-12-12       Impact factor: 6.237

Review 6.  A neural substrate of prediction and reward.

Authors:  W Schultz; P Dayan; P R Montague
Journal:  Science       Date:  1997-03-14       Impact factor: 47.728

7.  A model for Pavlovian learning: variations in the effectiveness of conditioned but not of unconditioned stimuli.

Authors:  J M Pearce; G Hall
Journal:  Psychol Rev       Date:  1980-11       Impact factor: 8.934

Review 8.  Limbic-striatal interactions in reward-related processes.

Authors:  T W Robbins; M Cador; J R Taylor; B J Everitt
Journal:  Neurosci Biobehav Rev       Date:  1989 Summer-Fall       Impact factor: 8.989

9.  Neural correlates of variations in event processing during learning in basolateral amygdala.

Authors:  Matthew R Roesch; Donna J Calu; Guillem R Esber; Geoffrey Schoenbaum
Journal:  J Neurosci       Date:  2010-02-17       Impact factor: 6.167

10.  Learning the value of information in an uncertain world.

Authors:  Timothy E J Behrens; Mark W Woolrich; Mark E Walton; Matthew F S Rushworth
Journal:  Nat Neurosci       Date:  2007-08-05       Impact factor: 24.884

View more
  141 in total

1.  Reward Prediction Error Signals are Meta-Representational.

Authors:  Nicholas Shea
Journal:  Nous       Date:  2012-06-21

Review 2.  A computational framework for the study of confidence in humans and animals.

Authors:  Adam Kepecs; Zachary F Mainen
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2012-05-19       Impact factor: 6.237

Review 3.  The neural bases of emotion regulation.

Authors:  Amit Etkin; Christian Büchel; James J Gross
Journal:  Nat Rev Neurosci       Date:  2015-11       Impact factor: 34.870

4.  Memories reactivated under ketamine are subsequently stronger: A potential pre-clinical behavioral model of psychosis.

Authors:  Michael J Honsberger; Jane R Taylor; Philip R Corlett
Journal:  Schizophr Res       Date:  2015-02-24       Impact factor: 4.939

5.  Associability-modulated loss learning is increased in posttraumatic stress disorder.

Authors:  Vanessa M Brown; Lusha Zhu; John M Wang; B Christopher Frueh; Brooks King-Casas; Pearl H Chiu
Journal:  Elife       Date:  2018-01-09       Impact factor: 8.140

Review 6.  Reinforcement learning models and their neural correlates: An activation likelihood estimation meta-analysis.

Authors:  Henry W Chase; Poornima Kumar; Simon B Eickhoff; Alexandre Y Dombrovski
Journal:  Cogn Affect Behav Neurosci       Date:  2015-06       Impact factor: 3.282

7.  Oxytocin selectively facilitates learning with social feedback and increases activity and functional connectivity in emotional memory and reward processing regions.

Authors:  Jiehui Hu; Song Qi; Benjamin Becker; Lizhu Luo; Shan Gao; Qiyong Gong; René Hurlemann; Keith M Kendrick
Journal:  Hum Brain Mapp       Date:  2015-02-09       Impact factor: 5.038

8.  Cortico-amygdala-striatal circuits are organized as hierarchical subsystems through the primate amygdala.

Authors:  Youngsun T Cho; Monique Ernst; Julie L Fudge
Journal:  J Neurosci       Date:  2013-08-28       Impact factor: 6.167

9.  In vivo delineation of subdivisions of the human amygdaloid complex in a high-resolution group template.

Authors:  J Michael Tyszka; Wolfgang M Pauli
Journal:  Hum Brain Mapp       Date:  2016-11       Impact factor: 5.038

10.  Using reinforcement learning models in social neuroscience: frameworks, pitfalls and suggestions of best practices.

Authors:  Lei Zhang; Lukas Lengersdorff; Nace Mikus; Jan Gläscher; Claus Lamm
Journal:  Soc Cogn Affect Neurosci       Date:  2020-07-30       Impact factor: 3.436

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.