Neural mechanisms of observational learning

被引:240
作者
Burke, Christopher J. [1 ]
Tobler, Philippe N. [1 ]
Baddeley, Michelle [2 ]
Schultz, Wolfram [1 ]
机构
[1] Univ Cambridge, Dept Physiol Dev & Neurosci, Cambridge CB2 3DY, England
[2] Univ Cambridge, Fac Econ, Cambridge CB3 9DD, England
基金
英国惠康基金;
关键词
prediction error; reward; vicarious learning; dorsolateral prefrontal cortex; ventromedial prefrontal cortex; PREDICTION ERROR; REWARD; BRAIN; SIGNALS; CORTEX; MODEL; INFORMATION; SELECTION; STRIATUM;
D O I
10.1073/pnas.1003111107
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Individuals can learn by interacting with the environment and experiencing a difference between predicted and obtained outcomes (prediction error). However, many species also learn by observing the actions and outcomes of others. In contrast to individual learning, observational learning cannot be based on directly experienced outcome prediction errors. Accordingly, the behavioral and neural mechanisms of learning through observation remain elusive. Here we propose that human observational learning can be explained by two previously uncharacterized forms of prediction error, observational action prediction errors (the actual minus the predicted choice of others) and observational outcome prediction errors (the actual minus predicted outcome received by others). In a functional MRI experiment, we found that brain activity in the dorsolateral prefrontal cortex and the ventromedial prefrontal cortex respectively corresponded to these two distinct observational learning signals.
引用
收藏
页码:14431 / 14436
页数:6
相关论文
共 39 条
  • [1] [Anonymous], 1990, The behavior of organisms: An experimental analysis
  • [2] [Anonymous], 2011, ANIMAL INTELLIGENCE
  • [3] Goal-directed instrumental action: contingency and incentive learning and their cortical substrates
    Balleine, BW
    Dickinson, A
    [J]. NEUROPHARMACOLOGY, 1998, 37 (4-5) : 407 - 419
  • [4] The proactive brain: using analogies and associations to generate predictions
    Bar, Moshe
    [J]. TRENDS IN COGNITIVE SCIENCES, 2007, 11 (07) : 280 - 289
  • [5] Associative learning of social value
    Behrens, Timothy E. J.
    Hunt, Laurence T.
    Woolrich, Mark W.
    Rushworth, Matthew F. S.
    [J]. NATURE, 2008, 456 (7219) : 245 - U45
  • [6] The Computation of Social Behavior
    Behrens, Timothy E. J.
    Hunt, Laurence T.
    Rushworth, Matthew F. S.
    [J]. SCIENCE, 2009, 324 (5931) : 1160 - 1164
  • [7] Neural coding of reward-prediction error signals during classical conditioning with attractive faces
    Bray, Signe
    O'Doherty, John
    [J]. JOURNAL OF NEUROPHYSIOLOGY, 2007, 97 (04) : 3036 - 3045
  • [8] Dissociation of response conflict, attentional selection, and expectancy with functional magnetic resonance imaging
    Casey, BJ
    Thomas, KM
    Welsh, TF
    Badgaiyan, RD
    Eccard, CH
    Jennings, JR
    Crone, EA
    [J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA, 2000, 97 (15) : 8728 - 8733
  • [9] Sensorimotor learning configures the human mirror system
    Catmur, Caroline
    Walsh, Vincent
    Heyes, Cecilia
    [J]. CURRENT BIOLOGY, 2007, 17 (17) : 1527 - 1531
  • [10] Chamley C.P., 2003, Rational Herds: Economic Models of Social Learning