Version 1
: Received: 7 October 2024 / Approved: 8 October 2024 / Online: 9 October 2024 (08:40:02 CEST)
How to cite:
Ignacio, J. Modeling the Dynamics of Pleasure, Pain, and Stress: A Neurochemical Perspective. Preprints2024, 2024100623. https://doi.org/10.20944/preprints202410.0623.v1
Ignacio, J. Modeling the Dynamics of Pleasure, Pain, and Stress: A Neurochemical Perspective. Preprints 2024, 2024100623. https://doi.org/10.20944/preprints202410.0623.v1
Ignacio, J. Modeling the Dynamics of Pleasure, Pain, and Stress: A Neurochemical Perspective. Preprints2024, 2024100623. https://doi.org/10.20944/preprints202410.0623.v1
APA Style
Ignacio, J. (2024). Modeling the Dynamics of Pleasure, Pain, and Stress: A Neurochemical Perspective. Preprints. https://doi.org/10.20944/preprints202410.0623.v1
Chicago/Turabian Style
Ignacio, J. 2024 "Modeling the Dynamics of Pleasure, Pain, and Stress: A Neurochemical Perspective" Preprints. https://doi.org/10.20944/preprints202410.0623.v1
Abstract
This article presents a mathematical model that captures the temporal dynamics of efficiencies in the responses to pleasure and pain, represented by $k_P(t)$ and $k_D(t)$, as well as the interaction factor $k_{PD}(t)$ between cortisol and dopamine. The model allows for the analysis of how these parameters evolve over time as a function of an individual's activities and physiological states, incorporating processes of tolerance, sensitization, and homeostasis. We present the updated differential equations, qualitative analyses, potential simulation scenarios, implications, and potential applications of the model.
Biology and Life Sciences, Neuroscience and Neurology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.