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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
2015-03-24
Source PublicationPROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA
ISSN0027-8424
SubtypeArticle
Volume112Issue:12Pages:3788-3792
AbstractPeople 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.
Keywordgambler's fallacy waiting time neural network temporal integration Bayesian inference
Indexed BySCI
Language英语
WOS IDWOS:000351477000058
Citation statistics
Cited Times:3[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.psych.ac.cn/handle/311026/13504
Collection中国科学院行为科学重点实验室
Affiliation1.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
Recommended Citation
GB/T 7714
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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