Computational analysis of disorganized attachment as a multilevel epigenetic and neural network

Mattheus  Asmelash; Sophie C. F. Hendrikse; Jan Treur

Computational analysis of disorganized attachment as a multilevel epigenetic and neural network

Mattheus Asmelash, Sophie C. F. Hendrikse, Jan Treur

Methodology and Statistics

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

Abstract

This paper presents a fifth-order adaptive network architecture that formalizes how attachment patterns emerge and adapt across six biologically grounded layers. It integrates relational context states to simulate caregiving environments over time and embeds a biologically plausible recovery loop in which demethylation enables oxytocin availability, which in turn restores neural regulation and belief restructuring. Finally, it captures the temporal unfolding of recovery, showing that molecular repair precedes shifts in belief and behavioural expression.

Original language	English
Title of host publication	Proceedings of the 9th computational methods in systems and software conference,
Publisher	Springer Nature
Publication status	Accepted/In press - 2025
Event	9th Computational methods in sytems and software 2025 - Duration: 29 Oct 2025 → 31 Oct 2025 Conference number: 9

Publication series

Name	Lecture notes in networks and systems
Publisher	Springer Nature
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

Conference

Conference	9th Computational methods in sytems and software 2025
Abbreviated title	CoMeSySo 2025
Period	29/10/25 → 31/10/25

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https://www.researchgate.net/publication/395483201

Cite this

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title = "Computational analysis of disorganized attachment as a multilevel epigenetic and neural network",

abstract = "This paper presents a fifth-order adaptive network architecture that formalizes how attachment patterns emerge and adapt across six biologically grounded layers. It integrates relational context states to simulate caregiving environments over time and embeds a biologically plausible recovery loop in which demethylation enables oxytocin availability, which in turn restores neural regulation and belief restructuring. Finally, it captures the temporal unfolding of recovery, showing that molecular repair precedes shifts in belief and behavioural expression.",

author = "Mattheus Asmelash and Hendrikse, \{Sophie C. F.\} and Jan Treur",

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language = "English",

series = "Lecture notes in networks and systems",

publisher = "Springer Nature",

booktitle = "Proceedings of the 9th computational methods in systems and software conference,",

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Asmelash, M, Hendrikse, SCF & Treur, J 2025, Computational analysis of disorganized attachment as a multilevel epigenetic and neural network. in Proceedings of the 9th computational methods in systems and software conference,. Lecture notes in networks and systems, Springer Nature, 9th Computational methods in sytems and software 2025, 29/10/25. <https://www.researchgate.net/publication/395483201>

Computational analysis of disorganized attachment as a multilevel epigenetic and neural network. / Asmelash, Mattheus ; Hendrikse, Sophie C. F.; Treur, Jan.
Proceedings of the 9th computational methods in systems and software conference,. Springer Nature, 2025. (Lecture notes in networks and systems).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

TY - GEN

T1 - Computational analysis of disorganized attachment as a multilevel epigenetic and neural network

AU - Asmelash, Mattheus

AU - Hendrikse, Sophie C. F.

AU - Treur, Jan

N1 - Conference code: 9

PY - 2025

Y1 - 2025

N2 - This paper presents a fifth-order adaptive network architecture that formalizes how attachment patterns emerge and adapt across six biologically grounded layers. It integrates relational context states to simulate caregiving environments over time and embeds a biologically plausible recovery loop in which demethylation enables oxytocin availability, which in turn restores neural regulation and belief restructuring. Finally, it captures the temporal unfolding of recovery, showing that molecular repair precedes shifts in belief and behavioural expression.

AB - This paper presents a fifth-order adaptive network architecture that formalizes how attachment patterns emerge and adapt across six biologically grounded layers. It integrates relational context states to simulate caregiving environments over time and embeds a biologically plausible recovery loop in which demethylation enables oxytocin availability, which in turn restores neural regulation and belief restructuring. Finally, it captures the temporal unfolding of recovery, showing that molecular repair precedes shifts in belief and behavioural expression.

M3 - Conference contribution

T3 - Lecture notes in networks and systems

BT - Proceedings of the 9th computational methods in systems and software conference,

PB - Springer Nature

T2 - 9th Computational methods in sytems and software 2025

Y2 - 29 October 2025 through 31 October 2025

ER -

Computational analysis of disorganized attachment as a multilevel epigenetic and neural network

Abstract

Publication series

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