Literature DB >> 19285467

Rewards evoke learning of unconsciously processed visual stimuli in adult humans.

Aaron R Seitz1, Dongho Kim, Takeo Watanabe.   

Abstract

The study of human learning is complicated by the myriad of processing elements involved in conducting any behavioral task. In the case of visual perceptual learning, there has been significant controversy regarding the task processes that guide the formation of this learning. However, there is a developing consensus that top-down, task-related factors are required for such learning to take place. Here we challenge this idea by use of a novel procedure in which human participants, who were deprived of food and water, passively viewed visual stimuli while receiving occasional drops of water as rewards. Visual orientation stimuli, which were temporally paired with the liquid rewards, were viewed monocularly and rendered imperceptible by continuously flashing contour-rich patterns to the other eye. Results show that visual learning can be formed in human adults through stimulus-reward pairing in the absence of a task and without awareness of the stimulus presentation or reward contingencies.

Entities:  

Mesh:

Year:  2009        PMID: 19285467      PMCID: PMC2683263          DOI: 10.1016/j.neuron.2009.01.016

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


  54 in total

1.  Effect of expected reward magnitude on the response of neurons in the dorsolateral prefrontal cortex of the macaque.

Authors:  M I Leon; M N Shadlen
Journal:  Neuron       Date:  1999-10       Impact factor: 17.173

Review 2.  Multiple reward signals in the brain.

Authors:  W Schultz
Journal:  Nat Rev Neurosci       Date:  2000-12       Impact factor: 34.870

3.  Effects of biased feedback on learning and deciding in a vernier discrimination task.

Authors:  M H Herzog; M Fahle
Journal:  Vision Res       Date:  1999       Impact factor: 1.886

4.  Theories of associative learning in animals.

Authors:  J M Pearce; M E Bouton
Journal:  Annu Rev Psychol       Date:  2001       Impact factor: 24.137

5.  Neural responses during anticipation of a primary taste reward.

Authors:  John P O'Doherty; Ralf Deichmann; Hugo D Critchley; Raymond J Dolan
Journal:  Neuron       Date:  2002-02-28       Impact factor: 17.173

6.  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

7.  Practising orientation identification improves orientation coding in V1 neurons.

Authors:  A Schoups; R Vogels; N Qian; G Orban
Journal:  Nature       Date:  2001-08-02       Impact factor: 49.962

8.  Human perceptual learning in the peripheral visual field: sensory thresholds and neurophysiological correlates.

Authors:  Ira Ludwig; Wolfgang Skrandies
Journal:  Biol Psychol       Date:  2002-05       Impact factor: 3.251

9.  Distinct changes in cortical acetylcholine and noradrenaline efflux during contingent and noncontingent performance of a visual attentional task.

Authors:  J W Dalley; J McGaughy; M T O'Connell; R N Cardinal; L Levita; T W Robbins
Journal:  J Neurosci       Date:  2001-07-01       Impact factor: 6.167

10.  Testing the efficiency and independence of attentional networks.

Authors:  Jin Fan; Bruce D McCandliss; Tobias Sommer; Amir Raz; Michael I Posner
Journal:  J Cogn Neurosci       Date:  2002-04-01       Impact factor: 3.225

View more
  135 in total

1.  SELECTIVENESS OF THE EXPOSURE-BASED PERCEPTUAL LEARNING: WHAT TO LEARN AND WHAT NOT TO LEARN.

Authors:  Hoon Choi; Takeo Watanabe
Journal:  Learn Percept       Date:  2009-05-07

2.  Value is in the eye of the beholder: early visual cortex codes monetary value of objects during a diverted attention task.

Authors:  Andrew S Persichetti; Geoffrey K Aguirre; Sharon L Thompson-Schill
Journal:  J Cogn Neurosci       Date:  2014-11-12       Impact factor: 3.225

3.  Varying irrelevant phonetic features hinders learning of the feature being trained.

Authors:  Mark Antoniou; Patrick C M Wong
Journal:  J Acoust Soc Am       Date:  2016-01       Impact factor: 1.840

4.  Further support for the importance of the suppressive signal (pull) during the push-pull perceptual training.

Authors:  Jingping P Xu; Zijiang J He; Teng Leng Ooi
Journal:  Vision Res       Date:  2012-01-18       Impact factor: 1.886

5.  Exogenous and endogenous attention during perceptual learning differentially affect post-training target thresholds.

Authors:  Ikuko Mukai; Kandy Bahadur; Kartik Kesavabhotla; Leslie G Ungerleider
Journal:  J Vis       Date:  2011-01-31       Impact factor: 2.240

6.  Low-level sensory plasticity during task-irrelevant perceptual learning: evidence from conventional and double training procedures.

Authors:  Praveen K Pilly; Stephen Grossberg; Aaron R Seitz
Journal:  Vision Res       Date:  2009-10-01       Impact factor: 1.886

7.  Relationships between the threshold and slope of psychometric and neurometric functions during perceptual learning: implications for neuronal pooling.

Authors:  Joshua I Gold; Chi-Tat Law; Patrick Connolly; Sharath Bennur
Journal:  J Neurophysiol       Date:  2009-10-28       Impact factor: 2.714

Review 8.  Advances in visual perceptual learning and plasticity.

Authors:  Yuka Sasaki; Jose E Nanez; Takeo Watanabe
Journal:  Nat Rev Neurosci       Date:  2009-12-02       Impact factor: 34.870

Review 9.  Common mechanisms of human perceptual and motor learning.

Authors:  Nitzan Censor; Dov Sagi; Leonardo G Cohen
Journal:  Nat Rev Neurosci       Date:  2012-09       Impact factor: 34.870

10.  Dopaminergic reward signals selectively decrease fMRI activity in primate visual cortex.

Authors:  John T Arsenault; Koen Nelissen; Bechir Jarraya; Wim Vanduffel
Journal:  Neuron       Date:  2013-03-20       Impact factor: 17.173

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.