Literature DB >> 21420853

Ventral striatum: a critical look at models of learning and evaluation.

Matthijs A A van der Meer1, A David Redish.   

Abstract

Extensive evidence implicates the ventral striatum in multiple distinct facets of action selection. Early work established a role in modulating ongoing behavior, as engaged by the energizing and directing influences of motivationally relevant cues and the willingness to expend effort in order to obtain reward. More recently, reinforcement learning models have suggested the notion of ventral striatum primarily as an evaluation step during learning, which serves as a critic to update a separate actor. Recent computational and experimental work may provide a resolution to the differences between these two theories through a careful parsing of behavior and the instrinsic heterogeneity that characterizes this complex structure.
Copyright © 2011 Elsevier Ltd. All rights reserved.

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Year:  2011        PMID: 21420853      PMCID: PMC3134536          DOI: 10.1016/j.conb.2011.02.011

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


  68 in total

Review 1.  Putting a spin on the dorsal-ventral divide of the striatum.

Authors:  Pieter Voorn; Louk J M J Vanderschuren; Henk J Groenewegen; Trevor W Robbins; Cyriel M A Pennartz
Journal:  Trends Neurosci       Date:  2004-08       Impact factor: 13.837

2.  Encoding of action history in the rat ventral striatum.

Authors:  Yun Bok Kim; Namjung Huh; Hyunjung Lee; Eun Ha Baeg; Daeyeol Lee; Min Whan Jung
Journal:  J Neurophysiol       Date:  2007-10-17       Impact factor: 2.714

Review 3.  Model-based fMRI and its application to reward learning and decision making.

Authors:  John P O'Doherty; Alan Hampton; Hackjin Kim
Journal:  Ann N Y Acad Sci       Date:  2007-04-07       Impact factor: 5.691

Review 4.  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

5.  Dissociable roles of ventral and dorsal striatum in instrumental conditioning.

Authors:  John O'Doherty; Peter Dayan; Johannes Schultz; Ralf Deichmann; Karl Friston; Raymond J Dolan
Journal:  Science       Date:  2004-04-16       Impact factor: 47.728

6.  Expectancies in decision making, reinforcement learning, and ventral striatum.

Authors:  Matthijs A A van der Meer; A David Redish
Journal:  Front Neurosci       Date:  2010-05-15       Impact factor: 4.677

7.  Fast oscillations in cortical-striatal networks switch frequency following rewarding events and stimulant drugs.

Authors:  J D Berke
Journal:  Eur J Neurosci       Date:  2009-07-31       Impact factor: 3.386

8.  Selective impairment of prediction error signaling in human dorsolateral but not ventral striatum in Parkinson's disease patients: evidence from a model-based fMRI study.

Authors:  Tom Schonberg; John P O'Doherty; Daphna Joel; Rivka Inzelberg; Yoram Segev; Nathaniel D Daw
Journal:  Neuroimage       Date:  2009-08-12       Impact factor: 6.556

Review 9.  Emotion and motivation: the role of the amygdala, ventral striatum, and prefrontal cortex.

Authors:  Rudolf N Cardinal; John A Parkinson; Jeremy Hall; Barry J Everitt
Journal:  Neurosci Biobehav Rev       Date:  2002-05       Impact factor: 8.989

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

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  38 in total

Review 1.  Neurophysiology of Reward-Guided Behavior: Correlates Related to Predictions, Value, Motivation, Errors, Attention, and Action.

Authors:  Gregory B Bissonette; Matthew R Roesch
Journal:  Curr Top Behav Neurosci       Date:  2016

2.  Nucleus accumbens responses differentiate execution and restraint in reward-directed behavior.

Authors:  Jamie D Roitman; Amy L Loriaux
Journal:  J Neurophysiol       Date:  2013-10-30       Impact factor: 2.714

Review 3.  From ventral-medial to dorsal-lateral striatum: neural correlates of reward-guided decision-making.

Authors:  Amanda C Burton; Kae Nakamura; Matthew R Roesch
Journal:  Neurobiol Learn Mem       Date:  2014-05-21       Impact factor: 2.877

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.  Acute ethanol effects on neural encoding of reward size and delay in the nucleus accumbens.

Authors:  Andrea L Gutman; Sharif A Taha
Journal:  J Neurophysiol       Date:  2016-05-11       Impact factor: 2.714

6.  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

7.  Model-based and model-free mechanisms of human motor learning.

Authors:  Adrian M Haith; John W Krakauer
Journal:  Adv Exp Med Biol       Date:  2013       Impact factor: 2.622

8.  Neurocognitive mechanisms of error-based motor learning.

Authors:  Rachael D Seidler; Youngbin Kwak; Brett W Fling; Jessica A Bernard
Journal:  Adv Exp Med Biol       Date:  2013       Impact factor: 2.622

9.  An Analysis of Decision under Risk in Rats.

Authors:  Christine M Constantinople; Alex T Piet; Carlos D Brody
Journal:  Curr Biol       Date:  2019-05-30       Impact factor: 10.834

10.  Cocaine Place Conditioning Strengthens Location-Specific Hippocampal Coupling to the Nucleus Accumbens.

Authors:  Lucas Sjulson; Adrien Peyrache; Andrea Cumpelik; Daniela Cassataro; György Buzsáki
Journal:  Neuron       Date:  2018-05-10       Impact factor: 17.173

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