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A bayesian model of cognitive control.
~
Jiang, Jiefeng.
A bayesian model of cognitive control.
Record Type:
Language materials, manuscript : Monograph/item
Title/Author:
A bayesian model of cognitive control./
Author:
Jiang, Jiefeng.
Description:
1 online resource (142 pages)
Notes:
Source: Dissertation Abstracts International, Volume: 75-08(E), Section: B.
Subject:
Cognitive psychology. -
Online resource:
click for full text (PQDT)
ISBN:
9781303841293
A bayesian model of cognitive control.
Jiang, Jiefeng.
A bayesian model of cognitive control.
- 1 online resource (142 pages)
Source: Dissertation Abstracts International, Volume: 75-08(E), Section: B.
Thesis (Ph.D.)--Duke University, 2014.
Includes bibliographical references
"Cognitive control" describes endogenous guidance of behavior in situations where routine stimulus-response associations are suboptimal for achieving a desired goal. The computational and neural mechanisms underlying this capacity remain poorly understood. The present dissertation examines recent advances stemming from the application of a statistical, Bayesian learner perspective on control processes. An important limitation in current models consists of a lack of a plausible mechanism for the flexible adjustment of control over variable environments. I propose that flexible cognitive control can be achieved by a Bayesian model with a self-adapting, volatility-driven learning scheme, which modulates dynamically the relative dependence on recent (short-term) and remote (long-term) experiences in its prediction of future control demand. Using simulation data, human behavioral data and human brain imaging data, I demonstrate that this Bayesian model does not only account for several classic behavioral phenomena observed from the cognitive control literature, but also facilitates a principled, model-guided investigation of the neural substrates underlying the flexible adjustment of cognitive control. Based on the results, I conclude that the proposed Bayesian model provides a feasible solution for modeling the flexible adjustment of cognitive control.
Electronic reproduction.
Ann Arbor, Mich. :
ProQuest,
2018
Mode of access: World Wide Web
ISBN: 9781303841293Subjects--Topical Terms:
556029
Cognitive psychology.
Index Terms--Genre/Form:
554714
Electronic books.
A bayesian model of cognitive control.
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1 online resource (142 pages)
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Source: Dissertation Abstracts International, Volume: 75-08(E), Section: B.
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Adviser: Tobias Egner.
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Thesis (Ph.D.)--Duke University, 2014.
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Includes bibliographical references
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"Cognitive control" describes endogenous guidance of behavior in situations where routine stimulus-response associations are suboptimal for achieving a desired goal. The computational and neural mechanisms underlying this capacity remain poorly understood. The present dissertation examines recent advances stemming from the application of a statistical, Bayesian learner perspective on control processes. An important limitation in current models consists of a lack of a plausible mechanism for the flexible adjustment of control over variable environments. I propose that flexible cognitive control can be achieved by a Bayesian model with a self-adapting, volatility-driven learning scheme, which modulates dynamically the relative dependence on recent (short-term) and remote (long-term) experiences in its prediction of future control demand. Using simulation data, human behavioral data and human brain imaging data, I demonstrate that this Bayesian model does not only account for several classic behavioral phenomena observed from the cognitive control literature, but also facilitates a principled, model-guided investigation of the neural substrates underlying the flexible adjustment of cognitive control. Based on the results, I conclude that the proposed Bayesian model provides a feasible solution for modeling the flexible adjustment of cognitive control.
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Ann Arbor, Mich. :
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ProQuest,
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2018
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Mode of access: World Wide Web
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Cognitive psychology.
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http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=3617024
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click for full text (PQDT)
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