Although the structure of cortical networks provides the necessary substrate for their
neuronal activity, the structure alone does not suffice to understand it. Leveraging the …

Background Granger causality is well established within the neurosciences for inference of
directed functional connectivity from neurophysiological data. These data usually consist of …

Our objective is to analyze EEG signals recorded with depth electrodes during seizures in
patients with drug-resistant epilepsy. Usually, different phases are observed during the …

Although intracerebral field potential oscillations are commonly used to study information
processing during cognition and behavior, the cellular and network processes underlying …

Since interactions in neural systems occur across multiple temporal scales, it is likely that
information flow will exhibit a multiscale structure, thus requiring a multiscale generalization …

Understanding neural spike dynamics and their interaction with local field potentials is
crucial for deciphering neural connectivity. This study utilizes data generously shared by …

We propose a method for exploring non-linear directed information transfer in complex
systems, which we expect to be useful for analyzing functional MRI (fMRI) neuroimaging …

Extracellular recordings with chronic or acute implants of multi-electrode arrays provide
simultaneous access to population signals such as local field potentials (LFPs) and the …

Mean-field theory of spiking neuronal networks has led to numerous advances in our
analytical and intuitive understanding of the dynamics of neuronal network models during …

Responses of neuronal populations play an important role in the encoding of stimulus
related information. However, the inherent multidimensionality required to describe …