[HTML][HTML] Can EEG and MEG detect signals from the human cerebellum?

LM Andersen, K Jerbi, SS Dalal - NeuroImage, 2020 - Elsevier
The cerebellum plays a key role in the regulation of motor learning, coordination and timing,
and has been implicated in sensory and cognitive processes as well. However, our current …

Wiener–Granger causality in network physiology with applications to cardiovascular control and neuroscience

A Porta, L Faes - Proceedings of the IEEE, 2015 - ieeexplore.ieee.org
Since the operative definition given by CWJ Granger of an idea expressed by N. Wiener, the
Wiener-Granger causality (WGC) has been one of the most relevant concepts exploited by …

[图书][B] Transfer entropy

T Bossomaier, L Barnett, M Harré, JT Lizier… - 2016 - Springer
Transfer Entropy Page 1 Chapter 4 Transfer Entropy In this chapter we get to the essential
mathematics of the book—a detailed discussion of transfer entropy. To begin with we look at …

Direction of information flow in large-scale resting-state networks is frequency-dependent

A Hillebrand, P Tewarie, E Van Dellen… - Proceedings of the …, 2016 - National Acad Sciences
Normal brain function requires interactions between spatially separated, and functionally
specialized, macroscopic regions, yet the directionality of these interactions in large-scale …

[HTML][HTML] JIDT: An information-theoretic toolkit for studying the dynamics of complex systems

JT Lizier - Frontiers in Robotics and AI, 2014 - frontiersin.org
Complex systems are increasingly being viewed as distributed information processing
systems, particularly in the domains of computational neuroscience, bioinformatics, and …

Entropy measures, entropy estimators, and their performance in quantifying complex dynamics: Effects of artifacts, nonstationarity, and long-range correlations

W Xiong, L Faes, PC Ivanov - Physical review E, 2017 - APS
Entropy measures are widely applied to quantify the complexity of dynamical systems in
diverse fields. However, the practical application of entropy methods is challenging, due to …

[HTML][HTML] Frequency-dependent functional connectivity within resting-state networks: an atlas-based MEG beamformer solution

A Hillebrand, GR Barnes, JL Bosboom, HW Berendse… - Neuroimage, 2012 - Elsevier
The brain consists of functional units with more-or-less specific information processing
capabilities, yet cognitive functions require the co-ordinated activity of these spatially …

A critical assessment of connectivity measures for EEG data: a simulation study

S Haufe, VV Nikulin, KR Müller, G Nolte - Neuroimage, 2013 - Elsevier
Information flow between brain areas is difficult to estimate from EEG measurements due to
the presence of noise as well as due to volume conduction. We here test the ability of …

Phase transfer entropy: a novel phase-based measure for directed connectivity in networks coupled by oscillatory interactions

M Lobier, F Siebenhühner, S Palva, JM Palva - Neuroimage, 2014 - Elsevier
We introduce here phase transfer entropy (Phase TE) as a measure of directed connectivity
among neuronal oscillations. Phase TE quantifies the transfer entropy between phase time …

[HTML][HTML] Measuring information-transfer delays

M Wibral, N Pampu, V Priesemann, F Siebenhühner… - PloS one, 2013 - journals.plos.org
In complex networks such as gene networks, traffic systems or brain circuits it is important to
understand how long it takes for the different parts of the network to effectively influence one …