<p>Matrices of Transfer Entropy among the 76 intracranial contacts implanted in an epileptic subject. Contacts 1 to 64 belong to a cortical grid, contacts 65 to 76 to two strips implanted in deeper structures. Transfer Entropy values are obtained with three approaches to non-uniform embedding considering ten seconds of brain activity in the pre-ictal phase (top panels) and ictal phase (bottom panels). The color scale reflects Transfer Entropy values, the shading is inversely proportional to the significance: brighter colors correspond to more significant values.</p
Biomedical signals are measurable time series that describe a physiological state of a biological sy...
International audienceThe background objective of this study is to analyze electrenocephalographic (...
Human brain, a dynamic complex system, can be studied with different approaches, including linear an...
<p>Matrices depict the difference of total numbers of significant connections between ictal and pre-...
<p>Time resolved reconstruction of transfer entropy (TE) from magnetoencephalographic (MEG) source d...
Neural oscillations are present in the brain at different spatial and temporal scales, and they are ...
The color-graphs separately show the average WM (left), WPM (middle) and WTE (right) values for the ...
International audienceThe background objective of this study is to analyze electrenocephalographic (...
The transfer entropy (TE) has recently emerged as a nonlinear model-free tool, framed in information...
We introduce here phase transfer entropy (Phase TE) as a measure of directed connectivity among neur...
The aim of this research is to apply an approach based on phase transfer entropy (PTE) and graph the...
Measuring the effective connectivity between the ele-ments of a neuronal system promises to give con...
Working memory (WM) is a distributed cognitive process that employs communication between prefrontal...
International audienceOur objective is to analyze EEG signals recorded with depth electrodes during ...
Cross-frequency interactions, a form of oscillatory neural activity, are thought to play an essentia...
Biomedical signals are measurable time series that describe a physiological state of a biological sy...
International audienceThe background objective of this study is to analyze electrenocephalographic (...
Human brain, a dynamic complex system, can be studied with different approaches, including linear an...
<p>Matrices depict the difference of total numbers of significant connections between ictal and pre-...
<p>Time resolved reconstruction of transfer entropy (TE) from magnetoencephalographic (MEG) source d...
Neural oscillations are present in the brain at different spatial and temporal scales, and they are ...
The color-graphs separately show the average WM (left), WPM (middle) and WTE (right) values for the ...
International audienceThe background objective of this study is to analyze electrenocephalographic (...
The transfer entropy (TE) has recently emerged as a nonlinear model-free tool, framed in information...
We introduce here phase transfer entropy (Phase TE) as a measure of directed connectivity among neur...
The aim of this research is to apply an approach based on phase transfer entropy (PTE) and graph the...
Measuring the effective connectivity between the ele-ments of a neuronal system promises to give con...
Working memory (WM) is a distributed cognitive process that employs communication between prefrontal...
International audienceOur objective is to analyze EEG signals recorded with depth electrodes during ...
Cross-frequency interactions, a form of oscillatory neural activity, are thought to play an essentia...
Biomedical signals are measurable time series that describe a physiological state of a biological sy...
International audienceThe background objective of this study is to analyze electrenocephalographic (...
Human brain, a dynamic complex system, can be studied with different approaches, including linear an...