An Adaptive Network-Oriented Cognitive Model for Major Depression and its Treatment

Marcia A. van der Poel, J. Treur

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

This paper presents an adaptive neurologically inspired cognitive model for the field of Major Depressive Disorder. This cognitive models is based on an (adaptive) temporal-causal network modelling approach incorporating a dynamic perspective on mental states and causal relations. The adaptive temporal-causal network modelling approach is used to address how a Deep Brain Stimulation treatment used for this disorder can work by a Hebbian learning effect. The model has turned out to produce simulation patterns as are expected from the literature. Verification by mathematical analysis has shown correctness with respect to the formal specifications.
LanguageEnglish
Title of host publicationProceedings of the 9th International Conference on Biologically Inspired Cognitive Architectures, BICA'18
PublisherSpringer
Number of pages11
StatePublished - 23 Aug 2018

Publication series

NameAdvances in Intelligent Systems and Computing
PublisherSpringer

Cite this

van der Poel, M. A., & Treur, J. (2018). An Adaptive Network-Oriented Cognitive Model for Major Depression and its Treatment. In Proceedings of the 9th International Conference on Biologically Inspired Cognitive Architectures, BICA'18 (Advances in Intelligent Systems and Computing). Springer.
van der Poel, Marcia A. ; Treur, J./ An Adaptive Network-Oriented Cognitive Model for Major Depression and its Treatment. Proceedings of the 9th International Conference on Biologically Inspired Cognitive Architectures, BICA'18. Springer, 2018. (Advances in Intelligent Systems and Computing).
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abstract = "This paper presents an adaptive neurologically inspired cognitive model for the field of Major Depressive Disorder. This cognitive models is based on an (adaptive) temporal-causal network modelling approach incorporating a dynamic perspective on mental states and causal relations. The adaptive temporal-causal network modelling approach is used to address how a Deep Brain Stimulation treatment used for this disorder can work by a Hebbian learning effect. The model has turned out to produce simulation patterns as are expected from the literature. Verification by mathematical analysis has shown correctness with respect to the formal specifications.",
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van der Poel, MA & Treur, J 2018, An Adaptive Network-Oriented Cognitive Model for Major Depression and its Treatment. in Proceedings of the 9th International Conference on Biologically Inspired Cognitive Architectures, BICA'18. Advances in Intelligent Systems and Computing, Springer.

An Adaptive Network-Oriented Cognitive Model for Major Depression and its Treatment. / van der Poel, Marcia A. ; Treur, J.

Proceedings of the 9th International Conference on Biologically Inspired Cognitive Architectures, BICA'18. Springer, 2018. (Advances in Intelligent Systems and Computing).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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N2 - This paper presents an adaptive neurologically inspired cognitive model for the field of Major Depressive Disorder. This cognitive models is based on an (adaptive) temporal-causal network modelling approach incorporating a dynamic perspective on mental states and causal relations. The adaptive temporal-causal network modelling approach is used to address how a Deep Brain Stimulation treatment used for this disorder can work by a Hebbian learning effect. The model has turned out to produce simulation patterns as are expected from the literature. Verification by mathematical analysis has shown correctness with respect to the formal specifications.

AB - This paper presents an adaptive neurologically inspired cognitive model for the field of Major Depressive Disorder. This cognitive models is based on an (adaptive) temporal-causal network modelling approach incorporating a dynamic perspective on mental states and causal relations. The adaptive temporal-causal network modelling approach is used to address how a Deep Brain Stimulation treatment used for this disorder can work by a Hebbian learning effect. The model has turned out to produce simulation patterns as are expected from the literature. Verification by mathematical analysis has shown correctness with respect to the formal specifications.

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van der Poel MA, Treur J. An Adaptive Network-Oriented Cognitive Model for Major Depression and its Treatment. In Proceedings of the 9th International Conference on Biologically Inspired Cognitive Architectures, BICA'18. Springer. 2018. (Advances in Intelligent Systems and Computing).