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pro vyhledávání: '"Daniels, Bryan"'
Autor:
Daniels, Bryan C., Howard, Marc W.
Many cognitive models, including those for predicting the time of future events, can be mapped onto a particular form of neural representation in which activity across a population of neurons is restricted to manifolds that specify the Laplace transf
Externí odkaz:
http://arxiv.org/abs/2406.04545
Autor:
Daniels, Bryan C., Borriello, Enrico
Previous work in Boolean dynamical networks has suggested that the number of components that must be controlled to select an existing attractor is typically set by the number of attractors admitted by the dynamics, with no dependence on the size of t
Externí odkaz:
http://arxiv.org/abs/2402.18757
Autor:
Romanczuk, Pawel, Daniels, Bryan C.
Collective behaviors exhibited by animal groups, such as fish schools, bird flocks, or insect swarms are fascinating examples of self-organization in biology. Concepts and methods from statistical physics have been used to argue theoretically about t
Externí odkaz:
http://arxiv.org/abs/2211.03879
Autor:
Poel, Winnie, Daniels, Bryan C., Sosna, Matthew M. G., Twomey, Colin R., Leblanc, Simon P., Couzin, Iain D., Romanczuk, Pawel
Living systems such as neuronal networks and animal groups process information about their environment via the dynamics of interacting units. These can transition between distinct macroscopic behaviors. Near such a transition (or critical point) coll
Externí odkaz:
http://arxiv.org/abs/2108.05537
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 major challenge for systems biology, and though experiments that probe int
Externí odkaz:
http://arxiv.org/abs/2108.00837
Autor:
Borriello, Enrico, Daniels, Bryan C.
Publikováno v:
Nat Commun 12, 5227 (2021)
Effective control of biological systems can often be achieved through the control of a surprisingly small number of distinct variables. We bring clarity to such results using the formalism of Boolean dynamical networks, analyzing the effectiveness of
Externí odkaz:
http://arxiv.org/abs/2010.12075
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 particular we want to identify groups of variables carrying redundant or syn
Externí odkaz:
http://arxiv.org/abs/2007.16018
Autor:
Lee, Edward D., Daniels, Bryan C., Myers, Christopher R., Krakauer, David C., Flack, Jessica C.
Publikováno v:
Phys. Rev. E 102, 042312 (2020)
Armed conflict data display scaling and universal dynamics in both social and physical properties like fatalities and geographic extent. We propose a randomly branching, armed-conflict model that relates multiple properties to one another in a way co
Externí odkaz:
http://arxiv.org/abs/2004.14311
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