Publications related to Networks of limit cycle oscillators with parametric learning capability

Self-Adaptive Attractor-Shaping for Oscillators Networks

Max-Olivier Hongler, Philippe Blanchard, Julio Rodriguez

We consider a network of N coupled limit cycle oscillators, each having a set of control parameters Λ_k, k = 1, . . . , N, that controls the frequency and the geometry of the limit cycle. We implement a self-adaptive mechanism that drives the local systems ...

2011

How regular is a regular-interval timetable? From theory to application

Panagiotis Tzieropoulos, Daniel Emery, David Tron

Initially, choice of regular-interval timetable was mostly addressing operational concerns, aiming to increase the network throughput and to smooth the day-today tasks of the personnel. Separation between infrastructure management and train operations, ind ...

Wit Press, Ashurst Lodge, Southampton So40 7Aa, Ashurst, England2010

Parametric Resonance in Time-Dependent Networks of Hopf Oscillators

Max-Olivier Hongler, Julio Rodriguez

We study a collection of limit cycle oscillators with different frequencies interacting via networks. With static networks, our specific class of models produces a frequency learning mechanism leading the collection of oscillators to ultimately adopt a sin ...

2010

Networks of mixed canonical-dissipative systems and dynamic hebbian learning

Max-Olivier Hongler, Julio Rodriguez

We study the dynamics of a network consisting of N diffusively coupled, stable- limit-cycle oscillators on which individual frequencies are parametrized by

w_k, k = 1, . . . ,N

. We introduce a learning rule which influences the wk by driving the system t ...

2009

Modeling complex wells with the multi-scale finite-volume method

Ivan Lunati

In this paper, an extension of the multi-scale finite-volume (MSFV) method is devised, which allows to simulate flow and transport in reservoirs with complex well configurations. The new framework fits nicely into the data structure of the original MSFV me ...

2009

Noise induced temporal patterns in populations of globally coupled oscillators

Max-Olivier Hongler, Roger Filliger, Philippe Blanchard, Julio Rodriguez

The population dynamics of an assembly of globally coupled homogeneous phase oscillators is studied in presence of non-Gaussian fluctuations. The variance of the underlying stochastic process grows as t + \beta^2 t^2 ( \beta being a constant) and therefore ...

Shaker Verlag2009

Dynamic hebbian learning in adaptive frequency oscillators

Auke Ijspeert, Jonas Buchli, Ludovic Righetti

Nonlinear oscillators are widely used in biology, physics and engineering for modeling and control. They are interesting because of their synchronization properties when coupled to other dynamical systems. In this paper, we propose a learning rule for osci ...

2006

Network Coding: An Instant Primer

Jean-Yves Le Boudec, Christina Fragouli, Jörg Widmer

Network coding is a new research area that may have interesting applications in practical networking systems. With network coding, intermediate nodes may send out packets that are linear combinations of previously received information. There are two main b ...

2006

Mean-field theory revives in self-oscillatory fields with non-local coupling

A simple mean-field idea is applicable to the pattern dynamics of large assemblies of limit-cycle oscillators with non-local coupling. This is demonstrated by developing a mathematical theory for the following two specific examples of pattern dynamics. Fir ...

2006

On the Throughput of Ad Hoc Networks using Connectivity Graphs

Christina Fragouli

In this paper we propose a set of necessary and sufficient conditions under which the throughput in an ad-hoc network can remain constant as the number of nodes n increases. Throughput refers to the minimum achievable rate between a source-destination pair ...

2005

Networks of limit cycle oscillators with parametric learning capability

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Self-Adaptive Attractor-Shaping for Oscillators Networks

How regular is a regular-interval timetable? From theory to application

Parametric Resonance in Time-Dependent Networks of Hopf Oscillators

Networks of mixed canonical-dissipative systems and dynamic hebbian learning

Modeling complex wells with the multi-scale finite-volume method

Noise induced temporal patterns in populations of globally coupled oscillators

Dynamic hebbian learning in adaptive frequency oscillators

Network Coding: An Instant Primer

Mean-field theory revives in self-oscillatory fields with non-local coupling

On the Throughput of Ad Hoc Networks using Connectivity Graphs

Networks of mixed canonical-dissipative systems and dynamic hebbian learning

Parametric Resonance in Time-Dependent Networks of Hopf Oscillators

Modeling complex wells with the multi-scale finite-volume method

How regular is a regular-interval timetable? From theory to application

Network Coding: An Instant Primer

Self-Adaptive Attractor-Shaping for Oscillators Networks

Noise induced temporal patterns in populations of globally coupled oscillators

Dynamic hebbian learning in adaptive frequency oscillators

Mean-field theory revives in self-oscillatory fields with non-local coupling

On the Throughput of Ad Hoc Networks using Connectivity Graphs