Journal article icon

Journal article

Stochastic cycle selection in active flow networks

Abstract:

Active biological flow networks pervade nature and span a wide range of scales, from arterial blood vessels and bronchial mucus transport in humans to bacterial flow through porous media or plasmodial shuttle streaming in slime molds. Despite their ubiquity, little is known about the self-organization principles that govern flow statistics in such nonequilibrium networks. Here we connect concepts from lattice field theory, graph theory, and transition rate theory to understand how topology co...

Expand abstract
Publication status:
Published
Peer review status:
Peer reviewed

Actions


Access Document


Files:
Publisher copy:
10.1073/pnas.1603351113

Authors


More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Mathematical Institute
Department:
Unknown
Role:
Author
ORCID:
0000-0002-5305-5510
More by this author
Institution:
University of Oxford
Division:
MPLS Division
Department:
Mathematical Institute
Role:
Author
More by this author
Role:
Author
ORCID:
0000-0002-2265-2638
More by this author
Role:
Author
ORCID:
0000-0001-8865-2369
Publisher:
National Academy of Sciences Publisher's website
Journal:
Proceedings of the National Academy of Sciences Journal website
Volume:
113
Issue:
29
Pages:
8200-8205
Publication date:
2016-07-05
Acceptance date:
2016-06-01
DOI:
EISSN:
1091-6490
ISSN:
0027-8424
Pmid:
27382186
Source identifiers:
940510
Language:
English
Keywords:
Pubs id:
pubs:940510
UUID:
uuid:6a7954ba-5478-45aa-9037-528d1aa7cddd
Local pid:
pubs:940510
Deposit date:
2019-01-18

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP