Better Late than Never: A Multilayer Network Model Using Metaplasticity for Emotion Regulation Strategies

Nimat Ullah*, Jan Treur

*Corresponding author for this work

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

35 Downloads (Pure)

Abstract

Adaptivity in emotion regulation strategies has always been considered as one of the key factors for health. As the choices of emotion regulation strategies change as per context, the priorities of strategies also change with time. This phenomenon is called plasticity. This paper focuses on network-oriented modeling of the concept of metaplasticity from recent neurological literature which controls the plasticity. Simulation results are presented for the elaboration of the concept in choice of emotion regulation strategies with age.

Original languageEnglish
Title of host publicationComplex Networks and Their Applications VIII
Subtitle of host publicationVolume 2 Proceedings of the Eighth International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019
EditorsHocine Cherifi, Sabrina Gaito, José Fernendo Mendes, Esteban Moro, Luis Mateus Rocha
PublisherSpringer
Pages697-708
Number of pages12
Volume2
ISBN (Electronic)9783030366834
ISBN (Print)9783030366827
DOIs
Publication statusPublished - 2020
Event8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019 - Lisbon, Portugal
Duration: 10 Dec 201912 Dec 2019

Publication series

NameStudies in Computational Intelligence
Volume882 SCI
ISSN (Print)1860-949X
ISSN (Electronic)1860-9503

Conference

Conference8th International Conference on Complex Networks and their Applications, COMPLEX NETWORKS 2019
Country/TerritoryPortugal
CityLisbon
Period10/12/1912/12/19

Keywords

  • Emotion regulation
  • Expressive suppression
  • Gender
  • Metaplasticity
  • Plasticity
  • Reappraisal

Fingerprint

Dive into the research topics of 'Better Late than Never: A Multilayer Network Model Using Metaplasticity for Emotion Regulation Strategies'. Together they form a unique fingerprint.

Cite this