Publications by Mahdi Jalili | EPFL Graph Search

A lower bound for algebraic connectivity based on the connection-graph-stability method

Martin Hasler, Mahdi Jalili, Ali Ajdari Rad

This paper introduces the connection-graph-stability method and uses it to establish a new lower bound on the algebraic connectivity of graphs (the second smallest eigenvalue of the Laplacian matrix of the graph) that is sharper than the previously publish ...

Elsevier2011

Reservoir optimization in recurrent neural networks using properties of Kronecker product

Martin Hasler, Mahdi Jalili, Ali Ajdari Rad

Recurrent neural networks based on reservoir computing are increasingly being used in many applications. Optimization of the topological structure of the reservoir and the internal connection weights for a given task is one of the most important problems i ...

2010

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

Attenuated asymmetry of functional connectivity in schizophrenia: A high-resolution EEG study

Martin Hasler, Reto Meuli, Mahdi Jalili, Kim Do

The interhemispheric asymmetries that originate from connectivity-related structuring of the cortex are compromised in schizophrenia (SZ). Under the assumption that such abnormalities affect functional connectivity, we analyzed its correlate-EEG synchroniz ...

Wiley-Blackwell2010

Multiple task learning in recurrent neural networks using layered reservoirs

Martin Hasler, Mahdi Jalili, Ali Ajdari Rad

In this paper, to learn multiple tasks sharing same inputs, a two-layer architecture for a reservoir based recurrent neural network is proposed. The inputs are fed into the general workspace layer where the weights are adapted to provide maximum informatio ...

2009

Synchronizability of dynamical networks: different measures and coincidence

Mahdi Jalili, Ali Ajdari Rad

In this paper, we list four different interpretations of synchronizability, study their profile in different network structures and give evidence that they do not coincide, in general. By changing the network topological properties, their behavior is track ...

2009

Comment on Rewiring networks for synchronization

Mahdi Jalili, Ali Ajdari Rad

This is a comment on a recent paper by A. Hagberg and D. A. Schult [Chaos 18, 037105 (2008)]. By taking the eigenratio of the Laplacian of an undirected and unweighted network as its synchronizability measure, they proposed a greedy rewiring algorithm for ...

2009

A novel approach for the analysis of synchronization in multivariate EEG time series

Martin Hasler, Oscar De Feo, Mahdi Jalili

Elsevier2008

Alpha rhythm and hypofrontality in schizophrenia

Martin Hasler, Oscar De Feo, Reto Meuli, Mahdi Jalili, Kim Do

2008

Reservoir Optimization in Recurrent Neural Networks using Kronecker Kernels

Martin Hasler, Mahdi Jalili, Ali Ajdari Rad

In this paper, using the mathematical properties of self-kronecker-production of small size random matrices, a simple but effective method is presented to optimize the reservoir of an echo state network given a certain task. The experimental results invest ...

IEEE2008

Efficient rewirings for enhancing synchronizability of dynamical networks

Martin Hasler, Mahdi Jalili, Ali Ajdari Rad

American Institute of Physics2008

Reducing Synchronization Cost in Weighted Dynamical Networks Using Betweenness Centrality Measures

Martin Hasler, Mahdi Jalili, Ali Ajdari Rad

In this paper we investigate optimization of synchronization cost in undirected dynamical networks. To do so, proper weights are assigned to the networks’ edges considering node and edge betweenness centrality measures. The proposed method gives near-optim ...

IEEE2008

Enhancing synchronizability of weighted dynamical networks using betweenness centrality

Martin Hasler, Mahdi Jalili, Ali Ajdari Rad

By considering the eigenratio of the Laplacian of the connection graph as a synchronizability measure, we propose a procedure for weighting dynamical networks to enhance their synchronizability. The method is based on node and edge betweenness centrality m ...

2008

Synchronization in dynamical networks : synchronizability, neural network models and EEG analysis

Mahdi Jalili

Complex dynamical networks are ubiquitous in many fields of science from engineering to biology, physics, and sociology. Collective behavior, and in particular synchronization,) is one of the most interesting consequences of interaction of dynamical system ...

EPFL2008

Dysconnection Topography in Schizophrenia Revealed with State-Space Analysis of EEG

Martin Hasler, Oscar De Feo, Reto Meuli, Mahdi Jalili, Kim Do

Background The dysconnection hypothesis has been proposed to account for pathophysiological mechanisms underlying schizophrenia. Widespread structural changes suggesting abnormal connectivity in schizophrenia have been imaged. A functional counterpart of t ...

2007

Enhancing synchronizability of dynamical networks using the connection graph stability method

Martin Hasler, Mahdi Jalili, Ali Ajdari Rad

Dynamical networks with diffusive couplings are investigated from the point of view of synchronizability. Arbitrary connection graphs are admitted but the coupling is symmetric. Networks with equal interaction coefficients for all edges of the interaction ...

2007