Dreaming Your Fear Away: A Computational Model for Fear Extinction Learning During Dreaming

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

Abstract

In this paper a computational model is presented that models how dreaming is used to learn fear extinction. The approach addresses dreaming as internal simulation incorporating memory elements in the form of sensory representations and their associated fear. During dream episodes regulation of fear takes place, which is strengthened by Hebbian learning. The model was evaluated by a number of simulation experiments for different scenarios. © 2011 Springer-Verlag.
LanguageEnglish
Title of host publicationProceedings of the 18th International Conference on Neural Information Processing, ICONIP'11, Part III.
EditorsB.L. Lu et al.
Place of PublicationBerlin-Heidelberg
PublisherSpringer Verlag
Pages197-209
Number of pages13
DOIs
Publication statusPublished - 2011

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7064 LNCS

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Data storage equipment
Experiments

Keywords

  • computational model
  • dreaming
  • fear extinction learning

Cite this

Treur, J. (2011). Dreaming Your Fear Away: A Computational Model for Fear Extinction Learning During Dreaming. In B. L. Lu et al. (Ed.), Proceedings of the 18th International Conference on Neural Information Processing, ICONIP'11, Part III. (pp. 197-209). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7064 LNCS). Berlin-Heidelberg: Springer Verlag. https://doi.org/10.1007/978-3-642-24965-5_22
Treur, J. / Dreaming Your Fear Away: A Computational Model for Fear Extinction Learning During Dreaming. Proceedings of the 18th International Conference on Neural Information Processing, ICONIP'11, Part III.. editor / B.L. Lu et al. Berlin-Heidelberg : Springer Verlag, 2011. pp. 197-209 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)).
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abstract = "In this paper a computational model is presented that models how dreaming is used to learn fear extinction. The approach addresses dreaming as internal simulation incorporating memory elements in the form of sensory representations and their associated fear. During dream episodes regulation of fear takes place, which is strengthened by Hebbian learning. The model was evaluated by a number of simulation experiments for different scenarios. {\circledC} 2011 Springer-Verlag.",
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Treur, J 2011, Dreaming Your Fear Away: A Computational Model for Fear Extinction Learning During Dreaming. in BL Lu et al. (ed.), Proceedings of the 18th International Conference on Neural Information Processing, ICONIP'11, Part III.. Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), vol. 7064 LNCS, Springer Verlag, Berlin-Heidelberg, pp. 197-209. https://doi.org/10.1007/978-3-642-24965-5_22

Dreaming Your Fear Away: A Computational Model for Fear Extinction Learning During Dreaming. / Treur, J.

Proceedings of the 18th International Conference on Neural Information Processing, ICONIP'11, Part III.. ed. / B.L. Lu et al. Berlin-Heidelberg : Springer Verlag, 2011. p. 197-209 (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 7064 LNCS).

Research output: Chapter in Book / Report / Conference proceedingConference contributionAcademicpeer-review

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Treur J. Dreaming Your Fear Away: A Computational Model for Fear Extinction Learning During Dreaming. In Lu et al. BL, editor, Proceedings of the 18th International Conference on Neural Information Processing, ICONIP'11, Part III.. Berlin-Heidelberg: Springer Verlag. 2011. p. 197-209. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)). https://doi.org/10.1007/978-3-642-24965-5_22