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Oscar De Feo

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Related publications (13)

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Estimating interdependences in networks of weakly coupled deterministic systems

Oscar De Feo, Cristian Carmeli

The extraction of information from measured data about the interactions taking place in a network of systems is a key topic in modern applied sciences. This topic has been traditionally addressed considering bivariate time series, providing methods that ar ...

2008

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

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

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

Transforming sub-harmonic chaos to homoclinic chaos suitable for pattern recognition

Oscar De Feo

World Scientific Publishing2005

A method for determining neural connectivity and inferring the underlying network dynamics using extracellular spike recordings

Oscar De Feo

In the present paper we propose a novel method for the identification and modeling of neural networks using extracellular spike recordings. We create a deterministic model of the effective network, whose dynamic behavior fits experimental data. The network ...

2005

Qualitative resonance of chaotic attractors

Martin Hasler, Oscar De Feo

2005

Assessing Dependences within Multivariate Time Series Partializing the Knowledge of Thirds

Oscar De Feo, Cristian Carmeli

A method to estimate from multivariate measurements the dependences within a network of coupled dynamical systems is proposed. The method is non-parametric and resorts to a statistics of the eigen-spectrums of the time series partial correlation matrices. ...

2006

Oscar De Feo

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Estimating interdependences in networks of weakly coupled deterministic systems

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

Transforming sub-harmonic chaos to homoclinic chaos suitable for pattern recognition

A method for determining neural connectivity and inferring the underlying network dynamics using extracellular spike recordings

Qualitative resonance of chaotic attractors

Assessing Dependences within Multivariate Time Series Partializing the Knowledge of Thirds

Inferring global dynamics and connectivity of neural ensembles through EEG signals

Assessment of EEG synchronization based on state-space analysis

Alpha rhythm and hypofrontality in schizophrenia

A Novel Interhemispheric Interaction: Modulation of Neuronal Cooperativity in the Visual Areas

Tuning chaos synchronization and anti-synchronization for applications in temporal pattern recognition

Mapping Electrophysiological Diversity of Neocortical Neurons on a Simple Mathematical Diversity

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