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

Marcia A. van der Poel, J. Treur

Research output: Contribution to JournalArticleAcademicpeer-review

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
Pages1-12
Number of pages12
JournalBiologically Inspired Cognitive Architectures
Early online date23 Dec 2018
StateAccepted/In press - 2018

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Depression
Deep Brain Stimulation
Major Depressive Disorder
Learning
Brain
Therapeutics
Formal specification

Cite this

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

In: Biologically Inspired Cognitive Architectures, 23.12.2018, p. 1-12.

Research output: Contribution to JournalArticleAcademicpeer-review

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