Literature DB >> 22749132

Pavlovian valuation systems in learning and decision making.

Jeremy J Clark1, Nick G Hollon, Paul E M Phillips.   

Abstract

Environmental stimuli guide value-based decision making, but can do so through cognitive representation of outcomes or through general-incentive properties attributed to the cues themselves. We assert that these differences are conferred through the use of alternative associative structures differing in computational intensity. Using this framework, we review scientific evidence to discern the neural substrates of these assumed separable processes. We suggest that the contribution of the mesolimbic dopamine system to Pavlovian valuation is restricted to an affective system that is only updated through experiential feedback of stimulus-outcome pairing, whereas the orbitofrontal cortex contributes to an alternative system capable of inferential reasoning. Finally we discuss the interactions and convergence of these systems and their implications for decision making and its pathology.
Copyright © 2012 Elsevier Ltd. All rights reserved.

Entities:  

Mesh:

Substances:

Year:  2012        PMID: 22749132      PMCID: PMC3465491          DOI: 10.1016/j.conb.2012.06.004

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


  74 in total

Review 1.  The contribution of orbitofrontal cortex to action selection.

Authors:  Sean B Ostlund; Bernard W Balleine
Journal:  Ann N Y Acad Sci       Date:  2007-09-13       Impact factor: 5.691

Review 2.  A framework for studying the neurobiology of value-based decision making.

Authors:  Antonio Rangel; Colin Camerer; P Read Montague
Journal:  Nat Rev Neurosci       Date:  2008-06-11       Impact factor: 34.870

Review 3.  The interaction of cognitive and stimulus-response processes in the control of behaviour.

Authors:  F Toates
Journal:  Neurosci Biobehav Rev       Date:  1998       Impact factor: 8.989

4.  CS-USC presentations and a lever: human autoshaping.

Authors:  W G Wilcove; J C Miller
Journal:  J Exp Psychol       Date:  1974-11

5.  Orbitofrontal cortex and basolateral amygdala encode expected outcomes during learning.

Authors:  G Schoenbaum; A A Chiba; M Gallagher
Journal:  Nat Neurosci       Date:  1998-06       Impact factor: 24.884

6.  Beyond reversal: a critical role for human orbitofrontal cortex in flexible learning from probabilistic feedback.

Authors:  Ami Tsuchida; Bradley B Doll; Lesley K Fellows
Journal:  J Neurosci       Date:  2010-12-15       Impact factor: 6.167

7.  The medial prefrontal and orbitofrontal cortices differentially regulate dopamine system function.

Authors:  Daniel J Lodge
Journal:  Neuropsychopharmacology       Date:  2011-02-09       Impact factor: 7.853

8.  Mindfulness-based relapse prevention for substance use disorders: a pilot efficacy trial.

Authors:  Sarah Bowen; Neharika Chawla; Susan E Collins; Katie Witkiewitz; Sharon Hsu; Joel Grow; Seema Clifasefi; Michelle Garner; Anne Douglass; Mary E Larimer; Alan Marlatt
Journal:  Subst Abus       Date:  2009 Oct-Dec       Impact factor: 3.716

9.  Separable learning systems in the macaque brain and the role of orbitofrontal cortex in contingent learning.

Authors:  Mark E Walton; Timothy E J Behrens; Mark J Buckley; Peter H Rudebeck; Matthew F S Rushworth
Journal:  Neuron       Date:  2010-03-25       Impact factor: 17.173

Review 10.  A unified framework for addiction: vulnerabilities in the decision process.

Authors:  A David Redish; Steve Jensen; Adam Johnson
Journal:  Behav Brain Sci       Date:  2008-08       Impact factor: 21.357

View more
  53 in total

1.  Prefrontal Regulation of Neuronal Activity in the Ventral Tegmental Area.

Authors:  Yong Sang Jo; Sheri J Y Mizumori
Journal:  Cereb Cortex       Date:  2015-09-22       Impact factor: 5.357

2.  Consumption of palatable food primes food approach behavior by rapidly increasing synaptic density in the VTA.

Authors:  Shuai Liu; Andrea K Globa; Fergil Mills; Lindsay Naef; Min Qiao; Shernaz X Bamji; Stephanie L Borgland
Journal:  Proc Natl Acad Sci U S A       Date:  2016-02-16       Impact factor: 11.205

3.  The role of glutamate signaling in incentive salience: second-by-second glutamate recordings in awake Sprague-Dawley rats.

Authors:  Seth R Batten; Francois Pomerleau; Jorge Quintero; Greg A Gerhardt; Joshua S Beckmann
Journal:  J Neurochem       Date:  2018-05-15       Impact factor: 5.372

4.  Experimental predictions drawn from a computational model of sign-trackers and goal-trackers.

Authors:  Florian Lesaint; Olivier Sigaud; Jeremy J Clark; Shelly B Flagel; Mehdi Khamassi
Journal:  J Physiol Paris       Date:  2014-06-20

5.  Neurons in the nucleus accumbens promote selection bias for nearer objects.

Authors:  Sara E Morrison; Saleem M Nicola
Journal:  J Neurosci       Date:  2014-10-15       Impact factor: 6.167

6.  Development of behavioural automaticity by extended Pavlovian training in an insect.

Authors:  Makoto Mizunami; Sho Hirohata; Ai Sato; Ryoichi Arai; Kanta Terao; Misato Sato; Yukihisa Matsumoto
Journal:  Proc Biol Sci       Date:  2019-01-16       Impact factor: 5.349

Review 7.  Individual variation in resisting temptation: implications for addiction.

Authors:  Benjamin T Saunders; Terry E Robinson
Journal:  Neurosci Biobehav Rev       Date:  2013-02-21       Impact factor: 8.989

8.  Neural Activity in the Ventral Pallidum Encodes Variation in the Incentive Value of a Reward Cue.

Authors:  Allison M Ahrens; Paul J Meyer; Lindsay M Ferguson; Terry E Robinson; J Wayne Aldridge
Journal:  J Neurosci       Date:  2016-07-27       Impact factor: 6.167

9.  Dopamine Neurons Respond to Errors in the Prediction of Sensory Features of Expected Rewards.

Authors:  Yuji K Takahashi; Hannah M Batchelor; Bing Liu; Akash Khanna; Marisela Morales; Geoffrey Schoenbaum
Journal:  Neuron       Date:  2017-09-13       Impact factor: 17.173

10.  Dopamine encoding of Pavlovian incentive stimuli diminishes with extended training.

Authors:  Jeremy J Clark; Anne L Collins; Christina Akers Sanford; Paul E M Phillips
Journal:  J Neurosci       Date:  2013-02-20       Impact factor: 6.167

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.