Biological systems are the quintessential complex systems of nature, with emer- gent phenomena at multiple length scales. While the theoretical physicist’s ultimate goal would be to understand the complexities of life under a unified framework, ther...
Biological systems are the quintessential complex systems of nature, with emer- gent phenomena at multiple length scales. While the theoretical physicist’s ultimate goal would be to understand the complexities of life under a unified framework, there is still much work to be done in understanding the rules that dictate the rich emergent phenomenon at each scale. Many fields of biology are in need of mathematical models that can explain the vast amount of experimental data regarding their specific target phenomena.
In this dissertation, five biological phenomena are studied with the aid of math- ematical models and methods from statistical physics: autophagy dynamics and its effect on amyloid-b peptide levels; aggregation of amyloid-b in Alzheimer’s disease; entrainment of the circadian system and recovery by light treatment; energy expendi- ture during gradient walking; and the behavioral dynamics of interceptive walking. For each topic, we provide background information on the topic at hand, discuss a model developed to understand the system, report the results of the model, and discuss the meaning of the results.