Integrating automatic and controlled processes into neurocognitive models of social cognition

  • Satpute A
  • Lieberman M
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Interest in the neural systems underlying social perception has expanded tremendously over the past few decades. However, gaps between behavioral literatures in social perception and neuroscience are still abundant. In this article, we apply the concept of dual-process models to neural systems in an effort to bridge the gap between many of these behavioral studies and neural systems underlying social perception. We describe and provide support for a neural division between reflexive and reflective systems. Reflexive systems correspond to automatic processes and include the amygdala, basal ganglia, ventromedial prefrontal cortex, dorsal anterior cingulate cortex, and lateral temporal cortex. Reflective systems correspond to controlled processes and include lateral prefrontal cortex, posterior parietal cortex, medial prefrontal cortex, rostral anterior cingulate cortex, and the hippocampus and surrounding medial temporal lobe region. This framework is considered to be a working model rather than a finished product. Finally, the utility of this model and its application to other social cognitive domains such as Theory of Mind are discussed. © 2006 Elsevier B.V. All rights reserved.

Author-supplied keywords

  • Automaticity
  • Control
  • Dual process model
  • Social Cognitive neuroscience
  • Social cognition

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  • Ajay B. Satpute

  • Matthew D. Lieberman

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