Publications

Found 15 results
Author Title [ Type(Desc)] Year
Filters: Author is Daniels, Bryan C.  [Clear All Filters]
Book Chapter
Daniels, Bryan C., Dirk Fey, Maciej Dobrzyński, B. Munsky, W. Hlavacek, and L. Tsimring. "Parameter Estimation, Sloppiness, and Model Identifiability." In In Quantitative Biology: Theory, Computational Methods, and Models. MIT Press, 2018.
Journal Article
Daniels, Bryan C., and Ilya Nemenman. "Automated adaptive inference of phenomenological dynamical models." 6 (2015): 8133 EP -.
Daniels, Bryan C., William S. Ryu, and Ilya Nemenman. "Automated, predictive, and interpretable inference of Caenorhabditis elegans escape dynamics." PNAS 116, no. 7226 (2019).
Lee, Edward D., Bryan C. Daniels, David C. Krakauer, and Jessica C. Flack. "Collective memory in macaque conflict implied by temporal scaling collapse." Journal of the Royal Society Interface 14 (2017).
Daniels, Bryan C., David C. Krakauer, and Jessica C. Flack. "Control of finite critical behaviour in a small-scale social system." Nature Communications 8 (2017).
Daniels, Bryan C., Hyunju Kim, Douglas Moore, Siyu Zhou, Harrison B. Smith, Bradley Karas, Stuart A. Kauffman, and Sara I. Walker. "Criticality Distinguishes the Ensemble of Biological Regulatory Networks." Phys. Rev. Lett. 121, no. 13 (2018).
Daniels, Bryan C., Jessica C. Flack, and David C. Krakauer. "Dual Coding Theory Explains Biphasic Collective Computation in Neural Decision-Making." Frontiers in Neuroscience 11 (2017): 313.
Lee, Edward D., Bryan C. Daniels, Christopher R. Myers, David C. Krakauer, and Jessica C. Flack. "Emergent regularities and scaling in armed conflict data." (2019).
Painter, Deryc T., Bryan C. Daniels, and Jürgen Jost. "Innovations are disproportionately likely in the periphery of a scientific network." Theory in Biosciences (2019).
Arehart, Emerson, Tangxin Jin, and Bryan C. Daniels. "Locating decision-making circuits in a heterogeneous neural network." Frontiers in Applied Mathematics and Statistics 4 (2018).
Painter, Deryc T., Bryan C. Daniels, and Jürgen Jost. "Network Analysis for the Digital Humanities: Principles, Problems, Extensions." Isis 110, no. 3 (2019).
Daniels, Bryan C., Christopher J. Ellison, David C. Krakauer, and Jessica C. Flack. "Quantifying collectivity." Current Opinion in Neurobiology 37 (2016): 106-113.
Daniels, Bryan C., and Pawel Romanczuk. "Quantifying the impact of network structure on speed and accuracy in collective decision-making." (2019).