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Latent structure in random sequences drives neural learning toward a rational bias
Sun, Yanlong1; O'Reilly, Randall C.2; Bhattacharyya, Rajan3; Smith, Jack W.1; Liu, Xun4; Wang, Hongbin1
摘要People generally fail to produce random sequences by overusing alternating patterns and avoiding repeating ones-the gambler's fallacy bias. We can explain the neural basis of this bias in terms of a biologically motivated neural model that learns from errors in predicting what will happen next. Through mere exposure to random sequences over time, the model naturally develops a representation that is biased toward alternation, because of its sensitivity to some surprisingly rich statistical structure that emerges in these random sequences. Furthermore, the model directly produces the best-fitting bias-gain parameter for an existing Bayesian model, by which we obtain an accurate fit to the human data in random sequence production. These results show that our seemingly irrational, biased view of randomness can be understood instead as the perfectly reasonable response of an effective learning mechanism to subtle statistical structure embedded in random sequences.
关键词gambler's fallacy waiting time neural network temporal integration Bayesian inference
2015-03-24
语种英语
发表期刊PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
ISSN0027-8424
卷号112期号:12页码:3788-3792
期刊论文类型Article
收录类别SCI
WOS记录号WOS:000351477000058
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被引频次:7[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.psych.ac.cn/handle/311026/13504
专题中国科学院行为科学重点实验室
作者单位1.Texas A&M Univ, Hlth Sci Ctr, Ctr Biomed Informat, Houston, TX 77030 USA
2.Univ Colorado, Dept Psychol & Neurosci, Boulder, CO 80309 USA
3.HRL Labs LLC, Ctr Neural & Emergent Syst, Informat & Syst Sci Lab, Malibu, CA 90265 USA
4.Chinese Acad Sci, Inst Psychol, Key Lab Behav Sci, Beijing 100101, Peoples R China
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Sun, Yanlong,O'Reilly, Randall C.,Bhattacharyya, Rajan,et al. Latent structure in random sequences drives neural learning toward a rational bias[J]. PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA,2015,112(12):3788-3792.
APA Sun, Yanlong,O'Reilly, Randall C.,Bhattacharyya, Rajan,Smith, Jack W.,Liu, Xun,&Wang, Hongbin.(2015).Latent structure in random sequences drives neural learning toward a rational bias.PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA,112(12),3788-3792.
MLA Sun, Yanlong,et al."Latent structure in random sequences drives neural learning toward a rational bias".PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA 112.12(2015):3788-3792.
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