Physiocognitive Modeling: Explaining the Effects of Caffeine on Fatigue

Topics in Cognitive Science 14 (4):860-872 (2022)
  Copy   BIBTEX

Abstract

Most computational theories of cognition lack a representation of physiology. Understanding the cognitive effects of compounds present in the environment 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 of caffeine concentrations in blood and tissues with ACT-R's fatigue module to predict the effects of caffeine on fatigue. Mapping between the PBPK model parameters and ACT-R model parameters is informed by the neurophysiological literature and established associations between ACT-R modules and brain regions. The results from three such parameter mappings are explored to explain observed data from sleep-deprived participants performing the psychomotor vigilance test with and without caffeine. Predicted caffeine concentrations in the brain are used to modulate procedural parameters in the fatigue module to explain caffeine's effects on multiple performance metrics.

Other Versions

No versions found

Links

PhilArchive



    Upload a copy of this work     Papers currently archived: 97,006

External links

Setup an account with your affiliations in order to access resources via your University's proxy server

Through your library

Similar books and articles

Building an ACT‐R Reader for Eye‐Tracking Corpus Data.Jakub Dotlačil - 2018 - Topics in Cognitive Science 10 (1):144-160.

Analytics

Added to PP
2022-06-01

Downloads
13 (#1,200,103)

6 months
8 (#836,215)

Historical graph of downloads
How can I increase my downloads?