Understanding how different areas of the human brain communicate with each other is a
crucial issue in neuroscience. The concepts of structural, functional and effective …

The study of the behaviour of small networks of neurones frequently requires the
determination of measures of the strength of association between component neurones, an …

The human brain contains billions of nerve cells whose activity plays a critical role in the way
we behave, feel, perceive, and think. This two-volume set explains the basic properties of a …

Multivariate time series analysis is extensively used in neurophysiology with the aim of
studying the relationship between simultaneously recorded signals. Recently, advances on …

The biomedical sciences have recently undergone revolutionary change, due to the ability to
digitize and store large data sets. In neuroscience, the data sources include measurements …

Sequences of motor activity are encoded in many vertebrate brains by complex spatio-
temporal patterns of neural activity; however, the neural circuit mechanisms underlying the …

1. The discharges of pairs of individual motor units were recorded from intrinsic hand
muscles in man. Single motor unit recordings were obtained either when both members of …

In this paper we extend the concept of graphical models for multivariate data to multivariate
time series. We define a partial correlation graph for time series and use the partial spectral …

Recently there has been an increase in the use of spectral methods for the analysis of
experimental data. These analytical methods allow the study of interactions between …

There is much current interest in identifying the anatomical and functional circuits that are
the basis of the brain's computations, with hope that functional neuroimaging techniques will …