Publications associées à Modèle de Kuramoto

Mesoscale and clusters of synchrony in networks of bursting neurons

We study the role of network architecture in the formation of synchronous clusters in synaptically coupled networks of bursting neurons. We give a simple combinatorial algorithm that finds the largest synchronous clusters from the network topology. We demo ...

2011

Accurate and Fast Simulation of Channel Noise in Conductance-Based Model Neurons by Diffusion Approximation

Michele Giugliano

Stochastic channel gating is the major source of intrinsic neuronal noise whose functional consequences at the microcircuit- and network-levels have been only partly explored. A systematic study of this channel noise in large ensembles of biophysically det ...

2011

Hyperbolic angular statistics for globally coupled oscillators

Max-Olivier Hongler, Roger Filliger, Philippe Blanchard

We analytically discuss a multiplicative noise generalization of the Kuramoto- Sakaguchi dynamics for an assembly of globally coupled phase oscillators. In the mean-ﬁeld limit, the resulting class of invariant measures coincides with a generalized, two-par ...

2010

Community detection enhancement in networks using proper weighting and partial synchronization

Martin Hasler, Ali Ajdari Rad, Alireza Khadivi

A community in a network is a subset of vertices densely connected to each other, but less connected to the vertices outside. Many different approaches have been developed to find such structures in a given network, but the main drawback of most of the ava ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Community detection enhancement in networks using proper weighting and partial synchronization

Martin Hasler, Ali Ajdari Rad, Alireza Khadivi

A community in a network is a subset of vertices densely connected to each other, but less connected to the vertices outside. Many different approaches have been developed to find such structures in a given network, but the main drawback of most of the ava ...

IEEE2010

Community Detection Enhancement in Networks using Proper Weighting and Partial Synchronization

Martin Hasler, Ali Ajdari Rad, Alireza Khadivi

A community in a network is a subset of vertices densely connected to each other, but less connected to the vertices outside. Many different approaches have been developed to find such structures in a given network, but the main drawback of most of the ava ...

Ieee Service Center, 445 Hoes Lane, Po Box 1331, Piscataway, Nj 08855-1331 Usa2010

Topography of EEG multivariate phase synchronization in early Alzheimer's disease

Martin Hasler, Reto Meuli, Mahdi Jalili

Alzheimer's disease (AD) is likely to disrupt the synchronization of the bioelectrical processes in the distributed cortical networks underlying cognition. We analyze the surface topography of the multivariate phase synchronization (MPS) of multichannel EE ...

2010

Adaptive Oscillators with Human-in-the-Loop: Proof of Concept for Assistance and Rehabilitation

Auke Ijspeert, Jesse van den Kieboom, Renaud Ronsse

Most recent findings in robot-assisted therapy suggest that the therapy is more successful if the patient actively participates to the movement (“assistance-as-needed”). In the present contribution, we propose a novel approach for designing highly flexible ...

IEEE2010

Networks of limit cycle oscillators with parametric learning capability

Max-Olivier Hongler, Julio Rodriguez

The fundamental idea that synchronized patterns emerge in networks of interacting oscillators is revisited by allowing a parametric learning mechanism to operate on the local dynamics. The local dynamics consist of stable limit cycle oscillators which, due ...

Springer2009

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

Modèle de Kuramoto

Mesoscale and clusters of synchrony in networks of bursting neurons

Accurate and Fast Simulation of Channel Noise in Conductance-Based Model Neurons by Diffusion Approximation

Hyperbolic angular statistics for globally coupled oscillators

Community detection enhancement in networks using proper weighting and partial synchronization

Community detection enhancement in networks using proper weighting and partial synchronization

Community Detection Enhancement in Networks using Proper Weighting and Partial Synchronization

Topography of EEG multivariate phase synchronization in early Alzheimer's disease

Adaptive Oscillators with Human-in-the-Loop: Proof of Concept for Assistance and Rehabilitation

Networks of limit cycle oscillators with parametric learning capability

Noise induced temporal patterns in populations of globally coupled oscillators

Graph Chatbot

Chattez avec Graph Search

Community detection enhancement in networks using proper weighting and partial synchronization

Accurate and Fast Simulation of Channel Noise in Conductance-Based Model Neurons by Diffusion Approximation

Hyperbolic angular statistics for globally coupled oscillators

Community Detection Enhancement in Networks using Proper Weighting and Partial Synchronization

Networks of limit cycle oscillators with parametric learning capability

Topography of EEG multivariate phase synchronization in early Alzheimer's disease

Adaptive Oscillators with Human-in-the-Loop: Proof of Concept for Assistance and Rehabilitation

Noise induced temporal patterns in populations of globally coupled oscillators

Mesoscale and clusters of synchrony in networks of bursting neurons

Community detection enhancement in networks using proper weighting and partial synchronization