The recognition that gene expression can be substantially stochastic poses the question of
how cells respond to dynamic environments using biochemistry that itself fluctuates. The …

Microbial regulatory strategies have long been understood in terms of the homeostatic
framework, in which a response is interpreted as a restoring force counteracting the …

We study the statistics of infima, stopping times, and passage probabilities of entropy
production in nonequilibrium steady states, and we show that they are universal. We …

The invention of the Kalman filter is a crowning achievement of filtering theory—one that has
revolutionized technology in countless ways. By dealing effectively with noise, the Kalman …

Cells send and receive signals through pathways that have been defined in great detail
biochemically, and it is often presumed that the signals convey only level information. Cell …

An adaptive agent predicting the future state of an environment must weigh trust in new
observations against prior experiences. In this light, we propose a view of the adaptive …

Cells live in changing, dynamic environments. To understand cellular decision-making, we
must therefore understand how fluctuating inputs are processed by noisy biomolecular …

To navigate in spatial fields of sensory cues, bacterial cells employ gradient sensing by
temporal comparison for run-and-tumble chemotaxis. Sensing and motility noise imply trade …

The chemotactic network of Escherichia coli has been studied extensively both biophysically
and information theoretically. Nevertheless, connection between these two aspects is still …

Patterning during organogenesis is fundamentally realized through the interpretation of
morphogen gradients by particular types of gene regulatory networks (GRNs). However, as …