1. An adaptive network model for pain and pleasure through spicy food and its desensitization
- Author
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Jan Treur, Mandy Choy, Suleika El Fassi, and Computer Science
- Subjects
Pain and pleasure ,Process (engineering) ,Cognitive Neuroscience ,medicine.medical_treatment ,media_common.quotation_subject ,Experimental and Cognitive Psychology ,Desensitization ,02 engineering and technology ,03 medical and health sciences ,0302 clinical medicine ,Artificial Intelligence ,Perception ,0202 electrical engineering, electronic engineering, information engineering ,medicine ,Capsaicin consumption ,Network model ,media_common ,Causal model ,Cognitive science ,Perspective (graphical) ,Adaptive causal network model ,Spicy food ,Desensitization (psychology) ,lipids (amino acids, peptides, and proteins) ,020201 artificial intelligence & image processing ,Psychology ,030217 neurology & neurosurgery ,Software - Abstract
This paper aims to map out the adaptive causal pathways of processes underlying capsaicin consumption and the desensitization process of the TRPV1 receptor as a feedback loop together with pain and pleasure perception. In order to map out these causal capsaicin pathways, adaptive causal network modeling was applied, which is a way of modeling biological, neural, mental and social processes from an adaptive causal modeling perspective.
- Published
- 2021
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