Reward Adaptation and the Mechanisms of Learning: Contrast Changes Reward Value in Rats and Drives Learning

被引:7
|
作者
Dwyer, Dominic Michael [1 ,2 ]
Figueroa, Jaime [3 ,4 ]
Gasalla, Patricia [5 ]
Lopez, Matias [5 ]
机构
[1] Cardiff Univ, Sch Psychol, Tower Bldg,Pk Pl, Cardiff CF10 3AT, S Glam, Wales
[2] UNSW, Sch Psychol, Sydney, NSW, Australia
[3] Pontificia Univ Catolica Chile, Fac Agron & Ingn Forestal, Dept Ciencias Anim, Santiago, Chile
[4] Univ Autonoma Barcelona, Fac Vet, Anim Nutr Management & Welf Res Grp, Barcelona, Spain
[5] Univ Oviedo, Dept Psicol, Oviedo, Spain
关键词
contrast effects; associative learning; flavor preference; comparative psychology; perceived reward; FLAVOR PREFERENCES; FOOD-DEPRIVATION; TASTE; FRUCTOSE; MICROSTRUCTURE; ACQUISITION; GLUCOSE; LICKING;
D O I
10.1177/0956797617729825
中图分类号
B84 [心理学];
学科分类号
04 ; 0402 ;
摘要
Formal theories of learning suggest that associations between events are determined by the internal representations of those events. Thus, learning should depend on perceived reward value-even when perceptions differ from objective values. We examined this prediction in flavor-preference learning in rats. In two experiments, simultaneous contrast either increased perceived reward value, which was paired with a distinctive flavor cue (the positive conditioned stimulus, CS+), or decreased the perceived value of the same reward, which was then paired with a second flavor (the negative conditioned stimulus, CS-). Even though the CS+ and CS- were paired with the same objective reward, there was a preference for the CS+ in subsequent tests. Moreover, the size of contrast-produced changes in reward value during training predicted the preference for the CS+ at test. This contrast-produced learning effect illustrates the mechanisms by which associations, which normally track veridical relationships between events in the world, are formed.
引用
收藏
页码:219 / 227
页数:9
相关论文
共 50 条
  • [41] The influence of personality on neural mechanisms of observational fear and reward learning
    Hooker, Christine I.
    Verosky, Sara C.
    Miyakawac, Asako
    Knight, Robert T.
    D'Esposito, Mark
    [J]. NEUROPSYCHOLOGIA, 2008, 46 (11) : 2709 - 2724
  • [42] Molecular mechanisms of reward-related incentive motivational learning
    Beninger, R. J.
    [J]. INTERNATIONAL JOURNAL OF NEUROPSYCHOPHARMACOLOGY, 2006, 9 : S77 - S77
  • [43] Pavlovian reward learning underlies value driven attentional capture
    Bucker, Berno
    Theeuwes, Jan
    [J]. ATTENTION PERCEPTION & PSYCHOPHYSICS, 2017, 79 (02) : 415 - 428
  • [44] Pavlovian reward learning underlies value driven attentional capture
    Berno Bucker
    Jan Theeuwes
    [J]. Attention, Perception, & Psychophysics, 2017, 79 : 415 - 428
  • [45] A TRANSLATIONAL MODEL FOR REWARD LEARNING: THE TRANSLATIONAL BANDIT TASK (TBT) ELICITS ROBUST REWARD LEARNING BEHAVIOR AND ERP VALUE CODING IN HUMANS
    Rawls, Eric
    Demro, Caroline
    Teich, Collin D.
    MacDonald, Angus W., III
    Sponheim, Scott R.
    [J]. PSYCHOPHYSIOLOGY, 2022, 59 : S170 - S170
  • [46] Functions of Learning Rate in Adaptive Reward Learning
    Wu, Xi
    Wang, Ting
    Liu, Chang
    Wu, Tao
    Jiang, Jiefeng
    Zhou, Dong
    Zhou, Jiliu
    [J]. FRONTIERS IN HUMAN NEUROSCIENCE, 2017, 11
  • [47] Inducing Structure in Reward Learning by Learning Features
    Bobu, Andreea
    Wiggert, Marius
    Tomlin, Claire
    Dragan, Anca D.
    [J]. INTERNATIONAL JOURNAL OF ROBOTICS RESEARCH, 2022, 41 (05): : 497 - 518
  • [48] Information Directed Reward Learning for Reinforcement Learning
    Lindner, David
    Turchetta, Matteo
    Tschiatschek, Sebastian
    Ciosek, Kamil
    Krause, Andreas
    [J]. ADVANCES IN NEURAL INFORMATION PROCESSING SYSTEMS 34 (NEURIPS 2021), 2021, 34
  • [49] Reinforcement learning reward functions for unsupervised learning
    Fyfe, Colin
    Lai, Pei Ling
    [J]. ADVANCES IN NEURAL NETWORKS - ISNN 2007, PT 1, PROCEEDINGS, 2007, 4491 : 397 - +