activity
19942023
most citedThe information bottleneck method

2.4k citations · 11.4k across the 104 of their papers we have counts for

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Showing physics.bio-phShow all

26 papers · 1 filter

physics.bio-ph2023★ 5 cited

Deriving a genetic regulatory network from an optimization principle

Thomas R Sokolowski, Thomas Gregor, William Bialek +1

Many biological systems approach physical limits to their performance, motivating the idea that their behavior and underlying mechanisms could be determined by such optimality. Nev…

physics.bio-ph2022

How accurately must cells measure the concentrations of signaling molecules?

Marianne Bauer, William Bialek

Information of relevance to the organism often is represented by the concentrations of particular molecules inside a cell. As outside observers we can now measure these concentrati…

physics.bio-ph2021★ 4 cited

Successes and failures of simple statistical physics models for a network of real neurons

Leenoy Meshulam, Jeffrey L. Gauthier, Carlos D. Brody +2

Biological networks exhibit complex, coordinated patterns of activity. Can these patterns be captured precisely in simple models? Here we use measurements of simultaneous activity…

physics.bio-ph2020★ 2 cited

Searching for sequence features that control DNA flexibility

Yaojun Zhang, Aakash Basu, Taekjip Ha +1

Modern genomics experiments measure functional behaviors for many thousands of DNA sequences. We suggest that, especially when these sequences are chosen at random, it is natural t…

physics.bio-ph2020★ 3 cited

Searching for long time scales without fine tuning

Xiaowen Chen, William Bialek

Most of animal and human behavior occurs on time scales much longer than the response times of individual neurons. In many cases, it is plausible that these long time scales emerge…

physics.bio-ph2018★ 5 cited

Coarse--graining and hints of scaling in a population of 1000+ neurons

Leenoy Meshulam, Jeffrey L. Gauthier, Carlos D. Brody +2

In many systems we can describe emergent macroscopic behaviors, quantitatively, using models that are much simpler than the underlying microscopic interactions; we understand the s…