Encoding in Grid Cells: Uniqueness, Redundancy and Synergy
An important contribution of my earlier work on information flow lies in recognizing that accounting for synergy is essential if we want a measure of informa...
An important contribution of my earlier work on information flow lies in recognizing that accounting for synergy is essential if we want a measure of informa...
While studying existing methods for inferring information flow in neuroscience, we recognized that Granger Causality does not always capture information flow...
Electroencephalography (EEG) has long been believed to be a low-resolution brain imaging modality. There is a pervasive view in the community of EEG users th...
Granger causality is an established measure of the “causal influence” that one statistical process has on another. It has been used extensively in neuroscien...