Combating noise and uncertainty in biophysical models
Abstract/Contents
- Abstract
- Noise and uncertainty are ubiquitous in biological systems, and robustness to these effects may be a crucial piece of understanding biological design. In small biophysical systems, thermal fluctuations can be of the order of the energy difference between system states, and these fluctuations are an important operational consideration for systems at the mesoscale. At the behavioral level, organisms constantly confront an unpredictable world and must make decisions that achieve their goals but are also sensitive to risk. In this work we discuss two projects that attempt to provide insight into robust biophysical models at two very different scales. At the smallest scale, we investigate theoretical bounds on the accuracy of single cellular sensors and how this is limited by energy dissipation. We then move to the behavioral scale and apply large deviation theory to risk-sensitive reinforcement learning in order to generate variance-constrained policies.
Description
| Type of resource | text |
|---|---|
| Form | electronic resource; remote; computer; online resource |
| Extent | 1 online resource. |
| Place | California |
| Place | [Stanford, California] |
| Publisher | [Stanford University] |
| Copyright date | 2022; ©2022 |
| Publication date | 2022; 2022 |
| Issuance | monographic |
| Language | English |
Creators/Contributors
| Author | Harvey, Sarah Elizabeth |
|---|---|
| Degree supervisor | Ganguli, Surya, 1977- |
| Thesis advisor | Ganguli, Surya, 1977- |
| Thesis advisor | Fisher, Daniel S |
| Thesis advisor | Good, Benjamin H |
| Degree committee member | Fisher, Daniel S |
| Degree committee member | Good, Benjamin H |
| Associated with | Stanford University, Department of Applied Physics |
Subjects
| Genre | Theses |
|---|---|
| Genre | Text |
Bibliographic information
| Statement of responsibility | Sarah Elizabeth Harvey. |
|---|---|
| Note | Submitted to the Department of Applied Physics. |
| Thesis | Thesis Ph.D. Stanford University 2022. |
| Location | https://purl.stanford.edu/nb662vs0816 |
Access conditions
- Copyright
- © 2022 by Sarah Elizabeth Harvey
- License
- This work is licensed under a Creative Commons Attribution Non Commercial 3.0 Unported license (CC BY-NC).
Also listed in
Loading usage metrics...