Publication

Modelling the Effect of Depression on Working Memory

van der Velde, M., van Vugt, M. & Taatgen, N., 21-Jul-2018, Proceedings of the 16th International Conference on Cognitive Modeling. Juvina, I., Houpt, J. & Myers, C. (eds.). Madison, WI: University of Wisconsin, p. 200 205 p.

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

APA

van der Velde, M., van Vugt, M., & Taatgen, N. (2018). Modelling the Effect of Depression on Working Memory. In I. Juvina, J. Houpt, & C. Myers (Eds.), Proceedings of the 16th International Conference on Cognitive Modeling (pp. 200). University of Wisconsin.

Author

van der Velde, Maarten ; van Vugt, Marieke ; Taatgen, Niels. / Modelling the Effect of Depression on Working Memory. Proceedings of the 16th International Conference on Cognitive Modeling. editor / Ion Juvina ; Joseph Houpt ; Chris Myers. Madison, WI : University of Wisconsin, 2018. pp. 200

Harvard

van der Velde, M, van Vugt, M & Taatgen, N 2018, Modelling the Effect of Depression on Working Memory. in I Juvina, J Houpt & C Myers (eds), Proceedings of the 16th International Conference on Cognitive Modeling. University of Wisconsin, Madison, WI, pp. 200, International Conference on Cognitive Modeling, Madison, United States, 21/07/2018.

Standard

Modelling the Effect of Depression on Working Memory. / van der Velde, Maarten; van Vugt, Marieke; Taatgen, Niels.

Proceedings of the 16th International Conference on Cognitive Modeling. ed. / Ion Juvina; Joseph Houpt; Chris Myers. Madison, WI : University of Wisconsin, 2018. p. 200.

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

Vancouver

van der Velde M, van Vugt M, Taatgen N. Modelling the Effect of Depression on Working Memory. In Juvina I, Houpt J, Myers C, editors, Proceedings of the 16th International Conference on Cognitive Modeling. Madison, WI: University of Wisconsin. 2018. p. 200


BibTeX

@inproceedings{4c5955a3cf7a4d1186cf64d1779360da,
title = "Modelling the Effect of Depression on Working Memory",
abstract = "Individuals with depression are prone to engaging in rumination,a process in which attention turns inwards to narrowlyfocused,negative patterns of thought, at the cost of attendingto a task. Other core deficits associated with depressionare weaker inhibition of information that is no longer relevant,and a negative perceptual bias. Here, we present a computationalcognitive model that uses these mechanisms to explainperformance on an n-back task in which the stimuli are faceswith different emotional expressions, and in which depressedparticipants exhibit specific impairments. These impairmentsare explained by assuming that depressed participants selectivelyelaborate on sad items as they are removed from workingmemory, and that they have a perceptual bias towards sadfaces. In this way, by specifying a mechanism by which performanceimpairments come about, the model helps to providea deeper understanding of the cognitive processes underlyingbehaviour.",
keywords = "depression, Cognitive modeling, WORKING MEMORY",
author = "{van der Velde}, Maarten and {van Vugt}, Marieke and Niels Taatgen",
year = "2018",
month = jul,
day = "21",
language = "English",
isbn = "978-0-9985082-2-1",
pages = "200",
editor = "Ion Juvina and Joseph Houpt and Chris Myers",
booktitle = "Proceedings of the 16th International Conference on Cognitive Modeling",
publisher = "University of Wisconsin",
note = "International Conference on Cognitive Modeling ; Conference date: 21-07-2018 Through 25-07-2018",
url = "https://www.conftool.com/mathpsych-iccm2018/sessions.php",

}

RIS

TY - GEN

T1 - Modelling the Effect of Depression on Working Memory

AU - van der Velde, Maarten

AU - van Vugt, Marieke

AU - Taatgen, Niels

PY - 2018/7/21

Y1 - 2018/7/21

N2 - Individuals with depression are prone to engaging in rumination,a process in which attention turns inwards to narrowlyfocused,negative patterns of thought, at the cost of attendingto a task. Other core deficits associated with depressionare weaker inhibition of information that is no longer relevant,and a negative perceptual bias. Here, we present a computationalcognitive model that uses these mechanisms to explainperformance on an n-back task in which the stimuli are faceswith different emotional expressions, and in which depressedparticipants exhibit specific impairments. These impairmentsare explained by assuming that depressed participants selectivelyelaborate on sad items as they are removed from workingmemory, and that they have a perceptual bias towards sadfaces. In this way, by specifying a mechanism by which performanceimpairments come about, the model helps to providea deeper understanding of the cognitive processes underlyingbehaviour.

AB - Individuals with depression are prone to engaging in rumination,a process in which attention turns inwards to narrowlyfocused,negative patterns of thought, at the cost of attendingto a task. Other core deficits associated with depressionare weaker inhibition of information that is no longer relevant,and a negative perceptual bias. Here, we present a computationalcognitive model that uses these mechanisms to explainperformance on an n-back task in which the stimuli are faceswith different emotional expressions, and in which depressedparticipants exhibit specific impairments. These impairmentsare explained by assuming that depressed participants selectivelyelaborate on sad items as they are removed from workingmemory, and that they have a perceptual bias towards sadfaces. In this way, by specifying a mechanism by which performanceimpairments come about, the model helps to providea deeper understanding of the cognitive processes underlyingbehaviour.

KW - depression

KW - Cognitive modeling

KW - WORKING MEMORY

M3 - Conference contribution

SN - 978-0-9985082-2-1

SP - 200

BT - Proceedings of the 16th International Conference on Cognitive Modeling

A2 - Juvina, Ion

A2 - Houpt, Joseph

A2 - Myers, Chris

PB - University of Wisconsin

CY - Madison, WI

T2 - International Conference on Cognitive Modeling

Y2 - 21 July 2018 through 25 July 2018

ER -

ID: 63294891