194 citations · 678 across the 20 of their papers we have counts for
5 papers · 1 filter
Discovering sparse control strategies in C. elegans
Edward D. Lee, Xiaowen Chen, Bryan C. Daniels
Biological circuits such as neural or gene regulation networks use internal states to map sensory input to an adaptive repertoire of behavior. Characterizing this mapping is a majo…
Quantifying dynamical high-order interdependencies from the O-information: an application to neural spiking dynamics
Sebastiano Stramaglia, Tomas Scagliarini, Bryan C. Daniels +1
We address the problem of efficiently and informatively quantifying how multiplets of variables carry information about the future of the dynamical system they belong to. In partic…
Quantifying the impact of network structure on speed and accuracy in collective decision-making
Bryan C. Daniels, Pawel Romanczuk
Found in varied contexts from neurons to ants to fish, binary decision-making is one of the simplest forms of collective computation. In this process, information collected by indi…
Automated, predictive, and interpretable inference of C. elegans escape dynamics
Bryan C. Daniels, William S. Ryu, Ilya Nemenman
The roundworm C. elegans exhibits robust escape behavior in response to rapidly rising temperature. The behavior lasts for a few seconds, shows history dependence, involves both se…
Saturation Probabilities of Continuous-Time Sigmoidal Networks
Randall D. Beer, Bryan Daniels
From genetic regulatory networks to nervous systems, the interactions between elements in biological networks often take a sigmoidal or S-shaped form. This paper develops a probabi…