Regaining Cognitive Control: An Adaptive Computational Model Involving Neural Correlates of Stress, Control and Intervention

Author(s):  
Nimat Ullah ◽  
Jan Treur
2013 ◽  
Author(s):  
Magdalena G. Wutte ◽  
Jennifer Coull ◽  
Laure Spieser ◽  
Franck Vidal ◽  
Boris Burle

2014 ◽  
Vol 76 (2) ◽  
pp. 146-153 ◽  
Author(s):  
Teal S. Eich ◽  
Derek Evan Nee ◽  
Catherine Insel ◽  
Chara Malapani ◽  
Edward E. Smith

2005 ◽  
Vol 16 (12) ◽  
pp. 1739-1749 ◽  
Author(s):  
D. J. Sharp ◽  
S. K. Scott ◽  
M. A. Mehta ◽  
R. J.S. Wise

NeuroImage ◽  
2017 ◽  
Vol 163 ◽  
pp. 41-54 ◽  
Author(s):  
Dov B. Lerman-Sinkoff ◽  
Jing Sui ◽  
Srinivas Rachakonda ◽  
Sridhar Kandala ◽  
Vince D. Calhoun ◽  
...  

2019 ◽  
Vol 29 (1) ◽  
pp. 102-109 ◽  
Author(s):  
Kathy T. Do ◽  
Paul B. Sharp ◽  
Eva H. Telzer

Heightened risk taking in adolescence has long been attributed to valuation systems overwhelming the deployment of cognitive control. However, this explanation of why adolescents engage in risk taking is insufficient given increasing evidence that risk-taking behavior can be strategic and involve elevated cognitive control. We argue that applying the expected-value-of-control computational model to adolescent risk taking can clarify under what conditions control is elevated or diminished during risky decision-making. Through this lens, we review research examining when adolescent risk taking might be due to—rather than a failure of—effective cognitive control and suggest compelling ways to test such hypotheses. This effort can resolve when risk taking arises from an immaturity of the control system itself, as opposed to arising from differences in what adolescents value relative to adults. It can also identify promising avenues for channeling cognitive control toward adaptive outcomes in adolescence.


Brain ◽  
2007 ◽  
Vol 131 (1) ◽  
pp. 165-179 ◽  
Author(s):  
C. L. Baym ◽  
B. A. Corbett ◽  
S. B. Wright ◽  
S. A. Bunge

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