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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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
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