BibTeX
@MISC{Cittern_anarousal-based,
author = {David Cittern and Abbas Edalat},
title = {An Arousal-Based Neural Model of Infant Attachment},
year = {}
}
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Abstract
Abstract-We develop an arousal-based neural model of infant attachment using a deep learning architecture. We show how our model can differentiate between attachment classifications during strange situation-like separation and reunion episodes, in terms of both signalling behaviour and patterns of autonomic arousal, according to the sensitivity of previous interaction.
