This site uses cookies

By using this site, you consent to our use of cookies. You can view our terms and conditions for more information.

Physio-cognitive modeling: explaining the effects of caffeine on fatigue

Dr. Tim Halverson
Aptima, Inc. ~ Performance Assessment Technologies Division
Dr. Chris Myers
Air Force Research Laboratory ~ Cognitive Science, Models, & Agents
Dr. Jeffery Gearhart
Dr. Matthew Linakis
Dr. Glenn Gunzelmann
U.S. Air Force Research Laboratory ~ Airman Systems Directorate

Most computational theories of cognition lack a representation of physiology. Understanding the effects of compounds present in the environment on cognition is important for explaining and predicting changes in cognition and behavior given exposure to toxins, pharmaceuticals, or the deprivation of critical compounds like oxygen. This research integrates physiologically-based pharmacokinetic (PBPK) model predictions with ACT-R's fatigue module to predict the effects of caffeine on fatigue. Parameter mapping between PBPK model parameters and ACT-R are informed by neurophysiological literature and established mappings between ACT-R modules and brain regions. Predicted caffeine concentrations in the brain are used to modulate a parameter in the fatigue module to explain caffeine's effects on multiple performance metrics.



caffeine; fatigue; ACT-R; physiologically based pharmacokinetic modeling; computational modeling

There is nothing here yet. Be the first to create a thread.

Cite this as:

Halverson, T., Myers, C., Gearhart, J., Linakis, M. W., & Gunzelmann, G. (2021, July). Physio-cognitive modeling: explaining the effects of caffeine on fatigue. Paper presented at Virtual MathPsych/ICCM 2021. Via