ASYNCNET · Asynchronous Networks
7РП — „Хора“ (Действия „Мария Кюри“)
- Период
- 2014-09-15 → 2016-09-14
- Финансиране от ЕС
- 309 235 €
- Участници
- 1
- Схема
- MC-IIF
Линиите свързват координатора с партньорите.
Накратко на български
Асинхронните мрежи, като транспортните или невронните системи, се анализират чрез нов математически модел. Това помага да се разбере как цялата мрежа функционира въз основа на работата на нейните отделни компоненти.
Кратко обяснение, генерирано от езиков модел по текста на CORDIS. Оригиналът е по-долу.
Резултати накратко
Asynchronous Networks
Asynchronous Networks In the first year of the project, a transparent and powerful mathematical model was developed for asynchronous networks that incorporates most of the features seen in contemporary network problems. A key advance was formalizing the idea of a functional asynchronous network: a network with a specific function (for example, a transport network or neural network performing pattern recognition). A major breakthrough was obtained in the second year of the project when a foundational result was obtained that clarified the structure of functional asynchronous networks and went far beyond the original goals of the project. A large class of functional asynchronous networks was identified for which one can describe the function of the network in terms of the function of constituent subnetworks. The result answers a question raised by the systems biologist Uri Alon in connection with gene transcription networks (from page 27 of Alon's 2007 book on systems biology): “Ideally, we would like to understand the dynamics of the entire network, based on the dynamics of the individual building blocks”. The underlying premise behind Alon's comment is that a modular, or engineering, approach to network dynamics is feasible: identify building blocks, connect together to form networks and describe the dynamical properties of the resulting network in terms of the dynamics of its components. Articles describing these results, general theory, and applications, have been submitted for publication and are listed and available on the project website.
Текст от CORDIS, на английски · Данни: CORDIS, © Европейски съюз
Цел на проекта
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.
Оригинален текст от CORDIS (на английски).
Участници
- IMPERIAL COLLEGE OF SCIENCE TECHNOLOGY AND MEDICINE · LondonКоординаторОбединеното кралство
Връзки
Данни: CORDIS, © Европейски съюз