We consider the question of evaluating causal relations among neurobiological signals. In
particular, we study the relation between the directed transfer function (DTF) and the well …

Advances in recording technologies have given neuroscience researchers access to large
amounts of data, in particular, simultaneous, individual recordings of large groups of …

Granger causality methods were developed to analyze the flow of information between time
series. These methods have become more widely applied in neuroscience. Frequency …

Multielectrode neurophysiological recordings produce massive quantities of data.
Multivariate time series analysis provides the basic framework for analyzing the patterns of …

For decades, the main ways to study the effect of one part of the nervous system upon
another have been either to stimulate or lesion the first part and investigate the outcome in …

In this study an information-theoretic test for general Granger causality is used to identify
couplings and information transport between different brain areas during epileptic activities …

Granger causality is becoming an important tool for determining causal relations between
neurobiological time series. For multivariate data, there is often the need to examine causal …

Spectral measures of causality are used to explore the role of different rhythms in the causal
connectivity between brain regions. We study several spectral measures related to Granger …

In the past, causality measures based on Granger causality have been suggested for
assessing directionality in neural signals. In frequency domain analyses (power or …

The analysis of multichannel recordings such as electroencephalography (EEG) and
magnetoencephalography (MEG) is important both for basic brain research and for medical …