Cel Complex systems of interest in contemporary science and technology can often be viewed as networks of interacting subsystems or subnetworks. In the simplest, and so far most studied cases, subnetworks all run on the same clock, are updated simultaneously, and dynamics is governed by a fixed set of dynamical equations. In biology, especially neuroscience, and technology, for example large distributed systems, these assumptions often do not hold: components may run on different clocks, there may be switching between between different sets of network dynamical equations and, most significantly, components of the network may run independently of the rest of the network for periods of time. We say networks of this type are asynchronous. The project will develop a theory of dynamics on adaptive asynchronous networks with a focus on finding conditions imply predictability and functionality of the network, notably the avoidance of deadlock and race conditions. Methods will use techniques from the statistical theory of dynamical systems, networks, and stochastic analysis as well as ideas coming from correlation based learning and computational neuroscience. Among many applications, we remark the potential for significantly improved understanding of large distributed networks (both technological and biological), as well as dynamical system based models for qualitative computing, learning and pattern recognition. Dziedzina nauki natural sciencesmathematicsapplied mathematicsdynamical systemsnatural sciencescomputer and information sciencesartificial intelligencepattern recognitionnatural sciencesbiological sciencesneurobiologycomputational neuroscience Program(-y) FP7-PEOPLE - Specific programme "People" implementing the Seventh Framework Programme of the European Community for research, technological development and demonstration activities (2007 to 2013) Temat(-y) FP7-PEOPLE-2013-IIF - Marie Curie Action: "International Incoming Fellowships" Zaproszenie do składania wniosków FP7-PEOPLE-2013-IIF Zobacz inne projekty w ramach tego zaproszenia System finansowania MC-IIF - International Incoming Fellowships (IIF) Koordynator IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE Wkład UE € 309 235,20 Adres SOUTH KENSINGTON CAMPUS EXHIBITION ROAD SW7 2AZ LONDON Zjednoczone Królestwo Zobacz na mapie Region London Inner London — West Westminster Rodzaj działalności Higher or Secondary Education Establishments Kontakt administracyjny Brooke Alasya (Ms.) Linki Kontakt z organizacją Opens in new window Strona internetowa Opens in new window Koszt całkowity Brak danych
