The availability of time series of the evolution of the properties of physical systems is
increasing, stimulating the development of many novel methods for the extraction of …

Brain activity observed at many spatiotemporal scales exhibits a 1/f-like power spectrum,
including neuronal membrane potentials, neural field potentials, noninvasive …

High-throughput experimental methods in neuroscience have led to an explosion of
techniques for measuring complex interactions and multi-dimensional patterns. However …

Permutation methods can provide exact control of false positives and allow the use of non-
standard statistics, making only weak assumptions about the data. With the availability of fast …

Fundamentals of Brain Network Analysis is a comprehensive and accessible introduction to
methods for unraveling the extraordinary complexity of neuronal connectivity. From the …

This technical note introduces a dynamic causal model (DCM) for resting state fMRI time
series based upon observed functional connectivity—as measured by the cross spectra …

Requiring only minimal assumptions for validity, nonparametric permutation testing provides
a flexible and intuitive methodology for the statistical analysis of data from functional …

Making sense of the world requires us to process information over multiple timescales. We
sought to identify brain regions that accumulate information over short and long timescales …

Time and space are the basic building blocks of nature. As a unique existent in nature, our
brain exists in time and takes up space. The brain's activity itself also constitutes and …

Scale-free dynamics, with a power spectrum following P∝ f− β, are an intrinsic feature of
many complex processes in nature. In neural systems, scale-free activity is often neglected …