1. Brain information processing capacity modeling.
- Author
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Li T, Zheng Y, Wang Z, Zhu DC, Ren J, Liu T, and Friston K
- Subjects
- Aged, Brain diagnostic imaging, Brain Mapping, Humans, Magnetic Resonance Imaging, Male, Neurons physiology, Young Adult, Brain physiology, Mental Processes, Models, Neurological
- Abstract
Neurophysiological measurements suggest that human information processing is evinced by neuronal activity. However, the quantitative relationship between the activity of a brain region and its information processing capacity remains unclear. We introduce and validate a mathematical model of the information processing capacity of a brain region in terms of neuronal activity, input storage capacity, and the arrival rate of afferent information. We applied the model to fMRI data obtained from a flanker paradigm in young and old subjects. Our analysis showed that-for a given cognitive task and subject-higher information processing capacity leads to lower neuronal activity and faster responses. Crucially, processing capacity-as estimated from fMRI data-predicted task and age-related differences in reaction times, speaking to the model's predictive validity. This model offers a framework for modelling of brain dynamics in terms of information processing capacity, and may be exploited for studies of predictive coding and Bayes-optimal decision-making., (© 2022. The Author(s).)
- Published
- 2022
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