To refer to this page use:
|Abstract:||Life depends as much on the flow of information as on the flow of energy. Here we review the many efforts to make this intuition precise. Starting with the building blocks of information theory, we explore examples where it has been possible to measure, directly, the flow of information in biological networks, or more generally where information-theoretic ideas have been used to guide the analysis of experiments. Systems of interest range from single molecules (the sequence diversity in families of proteins) to groups of organisms (the distribution of velocities in flocks of birds), and all scales in between. Many of these analyses are motivated by the idea that biological systems may have evolved to optimize the gathering and representation of information, and we review the experimental evidence for this optimization, again across a wide range of scales.|
|Electronic Publication Date:||11-Jan-2016|
|Citation:||Tkačik, Gašper, Bialek, William. (2016). Information Processing in Living Systems. Annual Review of Condensed Matter Physics, 7 (1), 89 - 117. doi:10.1146/annurev-conmatphys-031214-014803|
|Pages:||89 - 117|
|Type of Material:||Journal Article|
|Journal/Proceeding Title:||Annual Review of Condensed Matter Physics|
Items in OAR@Princeton are protected by copyright, with all rights reserved, unless otherwise indicated.