Automatic detection of cognitive events using machine learning and understanding models’ interpretations of human cognition

Automatic detection of cognitive events using machine learning and understanding models’ interpretations of human cognition

Abstract The pupillary response is a valuable indicator of cognitive workload, capturing fluctuations in attention and arousal governed by the autonomic nervous system. Cognitive events, defined as the initiation of mental processes, are closely linked to cognitive workload as they trigger cognitive...

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Bibliographic Details
Main Authors: Quang Dang, Murat Kucukosmanoglu, Michael Anoruo, Golshan Kargosha, Sarah Conklin, Justin Brooks
Format: Article
Language:English
Published: Nature Portfolio 2025-08-01
Series:Scientific Reports
Subjects:
Cognitive events detection
Cognitive classification
Feature importance
Neural networks
Explainable AI
Machine learning
Online Access:https://doi.org/10.1038/s41598-025-16165-4
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https://doi.org/10.1038/s41598-025-16165-4

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