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Advances in Psychological Science    2020, Vol. 28 Issue (5) : 800-809     DOI: 10.3724/SP.J.1042.2020.00800
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The cognitive neural network model of trust
CHEN Ying,XU Minxia,WANG Xinjian()
Zhou Enlai School of Government, Nankai University, Tianjin 300350, China
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Abstract  

Trust encompasses one’s willingness to take certain risks based on the expectation of the other's behavior in order to obtain positive results in the future. Previous studies focused on specific brain regions, rather than the overall activity of large-scale brain networks in trust behavior. Trust behavior is associated with the activation of multiple regions of the brain that involves the cognitive neural network. In the Cognitive Neural Network Model, trust behavior is a representation of the interaction between the motivation system, affective system and cognition system, corresponding to the activation of the reward network, salience network, central-executive network and default-mode network. The model clarifies the correspondence between psychological systems and neural networks, and explains the psychological and neural mechanisms of trust from the perspective of neuroscience. In addition, the model also emphasizes the feedback mechanism of trust behavior, yielding a complete Cognitive Neural Network Model.

Keywords trust      cognitive neural network      motivation system      affective system      cognition system     
ZTFLH:  B845  
  B849:C91  
Corresponding Authors: Xinjian WANG     E-mail: wangxj@nankai.edu.cn
Issue Date: 27 March 2020
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Ying CHEN
Minxia XU
Xinjian WANG
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Ying CHEN,Minxia XU,Xinjian WANG. The cognitive neural network model of trust[J]. Advances in Psychological Science, 2020, 28(5): 800-809.
URL:  
http://journal.psych.ac.cn/xlkxjz/EN/10.3724/SP.J.1042.2020.00800     OR     http://journal.psych.ac.cn/xlkxjz/EN/Y2020/V28/I5/800
  
  
  
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