Literature DB >> 22487047

Surprise! Neural correlates of Pearce-Hall and Rescorla-Wagner coexist within the brain.

Matthew R Roesch1, Guillem R Esber, Jian Li, Nathaniel D Daw, Geoffrey Schoenbaum.   

Abstract

Learning theory and computational accounts suggest that learning depends on errors in outcome prediction as well as changes in processing of or attention to events. These divergent ideas are captured by models, such as Rescorla-Wagner (RW) and temporal difference (TD) learning on the one hand, which emphasize errors as directly driving changes in associative strength, vs. models such as Pearce-Hall (PH) and more recent variants on the other hand, which propose that errors promote changes in associative strength by modulating attention and processing of events. Numerous studies have shown that phasic firing of midbrain dopamine (DA) neurons carries a signed error signal consistent with RW or TD learning theories, and recently we have shown that this signal can be dissociated from attentional correlates in the basolateral amygdala and anterior cingulate. Here we will review these data along with new evidence: (i) implicating habenula and striatal regions in supporting error signaling in midbrain DA neurons; and (ii) suggesting that the central nucleus of the amygdala and prefrontal regions process the amygdalar attentional signal. However, while the neural instantiations of the RW and PH signals are dissociable and complementary, they may be linked. Any linkage would have implications for understanding why one signal dominates learning in some situations and not others, and also for appreciating the potential impact on learning of neuropathological conditions involving altered DA or amygdalar function, such as schizophrenia, addiction or anxiety disorders. Published 2012. This article is a U.S. Government work and is in the public domain in the USA.

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Year:  2012        PMID: 22487047      PMCID: PMC3325511          DOI: 10.1111/j.1460-9568.2011.07986.x

Source DB:  PubMed          Journal:  Eur J Neurosci        ISSN: 0953-816X            Impact factor:   3.386


  106 in total

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Review 2.  The amygdala: vigilance and emotion.

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

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4.  Negative reward signals from the lateral habenula to dopamine neurons are mediated by rostromedial tegmental nucleus in primates.

Authors:  Simon Hong; Thomas C Jhou; Mitchell Smith; Kadharbatcha S Saleem; Okihide Hikosaka
Journal:  J Neurosci       Date:  2011-08-10       Impact factor: 6.167

5.  Lateral habenula stimulation inhibits rat midbrain dopamine neurons through a GABA(A) receptor-mediated mechanism.

Authors:  Huifang Ji; Paul D Shepard
Journal:  J Neurosci       Date:  2007-06-27       Impact factor: 6.167

6.  Expectations, gains, and losses in the anterior cingulate cortex.

Authors:  Jérôme Sallet; René Quilodran; Marie Rothé; Julien Vezoli; Jean-Paul Joseph; Emmanuel Procyk
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7.  Glutamatergic axons from the lateral habenula mainly terminate on GABAergic neurons of the ventral midbrain.

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Journal:  Neuroscience       Date:  2010-03-29       Impact factor: 3.590

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Authors:  C S Carter; T S Braver; D M Barch; M M Botvinick; D Noll; J D Cohen
Journal:  Science       Date:  1998-05-01       Impact factor: 47.728

Review 9.  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

10.  Dopamine neurons encode the better option in rats deciding between differently delayed or sized rewards.

Authors:  Matthew R Roesch; Donna J Calu; Geoffrey Schoenbaum
Journal:  Nat Neurosci       Date:  2007-11-18       Impact factor: 24.884

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  61 in total

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2.  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
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3.  Functional evidence for a direct excitatory projection from the lateral habenula to the ventral tegmental area in the rat.

Authors:  P Leon Brown; Paul D Shepard
Journal:  J Neurophysiol       Date:  2016-06-29       Impact factor: 2.714

4.  Double dissociation between the anterior cingulate cortex and nucleus accumbens core in encoding the context versus the content of pavlovian cocaine cue extinction.

Authors:  Mary M Torregrossa; Jessica Gordon; Jane R Taylor
Journal:  J Neurosci       Date:  2013-05-08       Impact factor: 6.167

5.  Temporal difference error prediction signal dysregulation in cocaine dependence.

Authors:  Emma Jane Rose; Betty Jo Salmeron; Thomas J Ross; James Waltz; Julie B Schweitzer; Samuel M McClure; Elliot A Stein
Journal:  Neuropsychopharmacology       Date:  2014-01-29       Impact factor: 7.853

6.  Altered basolateral amygdala encoding in an animal model of schizophrenia.

Authors:  Alex Hernandez; Amanda C Burton; Patricio O'Donnell; Geoffrey Schoenbaum; Matthew R Roesch
Journal:  J Neurosci       Date:  2015-04-22       Impact factor: 6.167

7.  Optogenetic excitation of central amygdala amplifies and narrows incentive motivation to pursue one reward above another.

Authors:  Mike J F Robinson; Shelley M Warlow; Kent C Berridge
Journal:  J Neurosci       Date:  2014-12-10       Impact factor: 6.167

8.  In monkeys making value-based decisions, amygdala neurons are sensitive to cue value as distinct from cue salience.

Authors:  Marvin L Leathers; Carl R Olson
Journal:  J Neurophysiol       Date:  2017-01-11       Impact factor: 2.714

9.  Prediction suppression and surprise enhancement in monkey inferotemporal cortex.

Authors:  Suchitra Ramachandran; Travis Meyer; Carl R Olson
Journal:  J Neurophysiol       Date:  2017-04-19       Impact factor: 2.714

10.  Prediction errors to emotional expressions: the roles of the amygdala in social referencing.

Authors:  Harma Meffert; Sarah J Brislin; Stuart F White; James R Blair
Journal:  Soc Cogn Affect Neurosci       Date:  2014-06-17       Impact factor: 3.436

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