Efficient inference of parsimonious phenomenological models of cellular dynamics using S-systems and alternating regression.

by Bryan C Daniels, Ilya Nemenman
Published 2015-01-01

The basis of easy controllability in Boolean networks

by Enrico Borriello, Bryan C. Daniels
Published 2021-09-01

Convenient Interface to Inverse Ising (ConIII): A Python 3 Package for Solving Ising-Type Maximum Entropy Models

by Edward D. Lee, Bryan C. Daniels
Published 2019-03-01

Locating Decision-Making Circuits in a Heterogeneous Neural Network

by Emerson Arehart, Tangxin Jin, Bryan C. Daniels
Published 2018-05-01

Control of finite critical behaviour in a small-scale social system

by Bryan C. Daniels, David C. Krakauer, Jessica C. Flack
Published 2017-02-01

Quantifying Dynamical High-Order Interdependencies From the O-Information: An Application to Neural Spiking Dynamics

by Sebastiano Stramaglia, Sebastiano Stramaglia, Tomas Scagliarini, Bryan C. Daniels, Daniele Marinazzo
Published 2021-01-01

Dual Coding Theory Explains Biphasic Collective Computation in Neural Decision-Making

by Bryan C. Daniels, Jessica C. Flack, Jessica C. Flack, David C. Krakauer, David C. Krakauer
Published 2017-06-01