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A Computational Model for Development of Post-Traumatic Stress Disorders by Hebbian Learning

  • Conference paper

Part of the Lecture Notes in Computer Science book series (LNTCS,volume 7664)

Abstract

This paper contributes a computational model for developing a Post-Traumatic Stress Disorder (PTSD), based on insights from the neurological literature. A number of simulations are presented that show how under specific circumstances the model develops PTSD-phenomena such as re-experiencing, dissociation and flashback episodes.

Keywords

  • Post Traumatic Stress Disorder
  • Development
  • Computational Model
  • Hebbian Learning

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© 2012 Springer-Verlag Berlin Heidelberg

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Naze, S., Treur, J. (2012). A Computational Model for Development of Post-Traumatic Stress Disorders by Hebbian Learning. In: Huang, T., Zeng, Z., Li, C., Leung, C.S. (eds) Neural Information Processing. ICONIP 2012. Lecture Notes in Computer Science, vol 7664. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-34481-7_18

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  • DOI: https://doi.org/10.1007/978-3-642-34481-7_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-34480-0

  • Online ISBN: 978-3-642-34481-7

  • eBook Packages: Computer ScienceComputer Science (R0)