The coupling of neuronal oscillations between cortical areas has been proposed both as a mechanism for top-down and bottom-up signaling in the brain. These inter-actions may facilitate the coordination of both local and distributed networks across different time scales. How-ever, we are still exploring what the best method is to quantify them. Of particular interest has been the role of phase-amplitude cross-frequency coupling (CFC), and a variety of methods to analyze this have been proposed [1]. Thus far none of these stands out as an ideal mea-sure. We propose the use of Mutual Information to quantify CFC. We test the performance of this metho
AbstractCross-frequency coupling (CFCo) could be important to study task-relevant manner changes in ...
Oscillations have been increasingly recognized as a core property of neural responses that contribut...
Brain areas need to coordinate their activity in order to enable complex behavioral responses. Synch...
Here we demonstrate the suitability of a local mutual information measure for estimating the tempora...
Abstract—Phase–amplitude cross-frequency coupling (CFC)— where the phase of a low-frequency signal m...
International audienceThe current paper proposes a method to estimate phase to phase cross-frequency...
International audienceThe current paper proposes a method to estimate phase to phase cross-frequency...
International audienceThe current paper proposes a method to estimate phase to phase cross-frequency...
Cross-frequency coupling (CFC) has been proposed to coordinate neural dynamics across spatial and te...
Cross-frequency coupling (CFC) has been proposed to coordinate neural dynamics across spatial and te...
Cross-frequency coupling (CFC) has been proposed to coordinate neural dynamics across spatial and te...
Neuroscience time series data from a range of techniques and species reveal complex, non-linear inte...
We define a metric, mutual information in frequency (MI-in-frequency), to detect and quantify the st...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
The functional brain connectivity has been studied by analyzing synchronization between dynamic osci...
AbstractCross-frequency coupling (CFCo) could be important to study task-relevant manner changes in ...
Oscillations have been increasingly recognized as a core property of neural responses that contribut...
Brain areas need to coordinate their activity in order to enable complex behavioral responses. Synch...
Here we demonstrate the suitability of a local mutual information measure for estimating the tempora...
Abstract—Phase–amplitude cross-frequency coupling (CFC)— where the phase of a low-frequency signal m...
International audienceThe current paper proposes a method to estimate phase to phase cross-frequency...
International audienceThe current paper proposes a method to estimate phase to phase cross-frequency...
International audienceThe current paper proposes a method to estimate phase to phase cross-frequency...
Cross-frequency coupling (CFC) has been proposed to coordinate neural dynamics across spatial and te...
Cross-frequency coupling (CFC) has been proposed to coordinate neural dynamics across spatial and te...
Cross-frequency coupling (CFC) has been proposed to coordinate neural dynamics across spatial and te...
Neuroscience time series data from a range of techniques and species reveal complex, non-linear inte...
We define a metric, mutual information in frequency (MI-in-frequency), to detect and quantify the st...
License, which permits unrestricted use, distribution, and reproduction in any medium, provided the ...
The functional brain connectivity has been studied by analyzing synchronization between dynamic osci...
AbstractCross-frequency coupling (CFCo) could be important to study task-relevant manner changes in ...
Oscillations have been increasingly recognized as a core property of neural responses that contribut...
Brain areas need to coordinate their activity in order to enable complex behavioral responses. Synch...