Literature DB >> 19607797

Midbrain dopamine neurons signal preference for advance information about upcoming rewards.

Ethan S Bromberg-Martin1, Okihide Hikosaka.   

Abstract

The desire to know what the future holds is a powerful motivator in everyday life, but it is unknown how this desire is created by neurons in the brain. Here we show that when macaque monkeys are offered a water reward of variable magnitude, they seek advance information about its size. Furthermore, the same midbrain dopamine neurons that signal the expected amount of water also signal the expectation of information, in a manner that is correlated with the strength of the animal's preference. Our data show that single dopamine neurons process both primitive and cognitive rewards, and suggest that current theories of reward-seeking must be revised to include information-seeking.

Entities:  

Mesh:

Substances:

Year:  2009        PMID: 19607797      PMCID: PMC2723053          DOI: 10.1016/j.neuron.2009.06.009

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


  43 in total

1.  Feature-based anticipation of cues that predict reward in monkey caudate nucleus.

Authors:  Johan Lauwereyns; Yoriko Takikawa; Reiko Kawagoe; Shunsuke Kobayashi; Masashi Koizumi; Brian Coe; Masamichi Sakagami; Okihide Hikosaka
Journal:  Neuron       Date:  2002-01-31       Impact factor: 17.173

2.  Addiction as a computational process gone awry.

Authors:  A David Redish
Journal:  Science       Date:  2004-12-10       Impact factor: 47.728

3.  Risk-sensitive neurons in macaque posterior cingulate cortex.

Authors:  Allison N McCoy; Michael L Platt
Journal:  Nat Neurosci       Date:  2005-08-14       Impact factor: 24.884

4.  Neural representation of information measure in the primate premotor cortex.

Authors:  Kiyohiko Nakamura
Journal:  J Neurophysiol       Date:  2006-04-19       Impact factor: 2.714

5.  Temporal discounting predicts risk sensitivity in rhesus macaques.

Authors:  Benjamin Y Hayden; Michael L Platt
Journal:  Curr Biol       Date:  2007-01-09       Impact factor: 10.834

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.  Monitoring and blunting: validation of a questionnaire to assess styles of information seeking under threat.

Authors:  S M Miller
Journal:  J Pers Soc Psychol       Date:  1987-02

8.  Toward a modern theory of adaptive networks: expectation and prediction.

Authors:  R S Sutton; A G Barto
Journal:  Psychol Rev       Date:  1981-03       Impact factor: 8.934

9.  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

10.  The temporal precision of reward prediction in dopamine neurons.

Authors:  Christopher D Fiorillo; William T Newsome; Wolfram Schultz
Journal:  Nat Neurosci       Date:  2008-08       Impact factor: 24.884

View more
  150 in total

Review 1.  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 2.  Toward a neurobiology of delusions.

Authors:  P R Corlett; J R Taylor; X-J Wang; P C Fletcher; J H Krystal
Journal:  Prog Neurobiol       Date:  2010-06-15       Impact factor: 11.685

Review 3.  Dopamine in motivational control: rewarding, aversive, and alerting.

Authors:  Ethan S Bromberg-Martin; Masayuki Matsumoto; Okihide Hikosaka
Journal:  Neuron       Date:  2010-12-09       Impact factor: 17.173

4.  Reward changes salience in human vision via the anterior cingulate.

Authors:  Clayton Hickey; Leonardo Chelazzi; Jan Theeuwes
Journal:  J Neurosci       Date:  2010-08-18       Impact factor: 6.167

5.  Region-specific differences in brain melanocortin receptors in rats of the lean phenotype.

Authors:  Charu Shukla; Steven L Britton; Lauren G Koch; Colleen M Novak
Journal:  Neuroreport       Date:  2012-07-11       Impact factor: 1.837

6.  Nicotinic receptors in the ventral tegmental area promote uncertainty-seeking.

Authors:  Jérémie Naudé; Stefania Tolu; Malou Dongelmans; Nicolas Torquet; Sébastien Valverde; Guillaume Rodriguez; Stéphanie Pons; Uwe Maskos; Alexandre Mourot; Fabio Marti; Philippe Faure
Journal:  Nat Neurosci       Date:  2016-01-18       Impact factor: 24.884

Review 7.  Reward processing by the lateral habenula in normal and depressive behaviors.

Authors:  Christophe D Proulx; Okihide Hikosaka; Roberto Malinow
Journal:  Nat Neurosci       Date:  2014-09       Impact factor: 24.884

8.  View-invariance learning in object recognition by pigeons depends on error-driven associative learning processes.

Authors:  Fabian A Soto; Jeffrey Y M Siow; Edward A Wasserman
Journal:  Vision Res       Date:  2012-04-17       Impact factor: 1.886

Review 9.  How Outcome Uncertainty Mediates Attention, Learning, and Decision-Making.

Authors:  Ilya E Monosov
Journal:  Trends Neurosci       Date:  2020-07-28       Impact factor: 13.837

10.  Dopamine-associated cached values are not sufficient as the basis for action selection.

Authors:  Nick G Hollon; Monica M Arnold; Jerylin O Gan; Mark E Walton; Paul E M Phillips
Journal:  Proc Natl Acad Sci U S A       Date:  2014-12-08       Impact factor: 11.205

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.