2018
DOI: 10.1038/s41467-018-06445-1
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Active particles bound by information flows

Abstract: Self-organization is the generation of order out of local interactions. It is deeply connected to many fields of science from physics, chemistry to biology, all based on physical interactions. The emergence of collective animal behavior is the result of self-organization processes as well, though they involve abstract interactions arising from sensory inputs, information processing, storage, and feedback. Resulting collective behaviors are found, for example, in crowds of people, flocks of birds, and swarms of… Show more

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Cited by 136 publications
(169 citation statements)
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“…(32) becomes equal to the result for the planar interface, Eq. (22). The concentration inside the cluster needs to exceed the thresholdc with c(r c ) =c at the boundary, which constitutes our third condition.…”
Section: Circular Clustersmentioning
confidence: 99%
See 1 more Smart Citation
“…(32) becomes equal to the result for the planar interface, Eq. (22). The concentration inside the cluster needs to exceed the thresholdc with c(r c ) =c at the boundary, which constitutes our third condition.…”
Section: Circular Clustersmentioning
confidence: 99%
“…Phoretic colloidal particles provide a well-characterized experimental model system in which we can study different aspects of emerging collective behavior [19]. Implementing responses beyond excluded volume and alignment requires control over particles motion [20][21][22]. For phoretic Janus particles triggered by light, individual control of motility has been demonstrated recently for two modes of perception: cohesive flocking through vision cones [23] and for quorum sensing [24].…”
Section: Introductionmentioning
confidence: 99%
“…In a phenomenological top-down approach, (physical) interactions are deduced from observations [270,271]. Alternatively, in a bottom-up approach, the effect of complex information processing strategies of individual agents, e.g., delayed signal processing, is studied [272][273][274]. Collective behavior can even emerge from a purely probabilistic approach by considering intrinsic motivation and maximization of future options via processing of sensed information, without any a priori specification of social forces or individual interaction rules [273,275].…”
Section: Animal Groupsmentioning
confidence: 99%
“…Furthermore, they are argued to be closely related to the mechanism of robustness in biological systems [18,19].On another front, active matter, a collection of self-driven particles, has attracted much interest as an ideal platform to study biological physics [20][21][22] and out-of-equilibrium statistical physics [23][24][25][26][27][28]. While a prototype of active matter has been originally introduced to understand animal flocking behavior [29,30], recent experimental developments have allowed one to manipulate and observe artificial active systems in a controlled manner by utilizing Janus particles [31], catalytic colloids [32] and external feedback control [33].The aim of this Letter is to show that a topologically nontrivial feature can ubiquitously emerge in a nonequilibrium steady state of active matter and demonstrate it by analyzing the concrete minimal model, which can be realized with current experimental techniques. Specifically, we first point out that the net vorticity of the steady-state flow must vanish under realistic conditions for active systems in the continuum space.…”
mentioning
confidence: 99%