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J. Fernandez-Ramirez et al.
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Mario Villena-Gonzalez et al.
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The roles of alpha oscillation in working memory retention
Elvis Wianda et al.
BRAIN AND BEHAVIOR (2019)
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Xiaoling Chen et al.
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Ivan De La Pava Panche et al.
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Rui Zhang et al.
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Spectral Imprints of Working Memory for Everyday Associations in the Frontoparietal Network
Elizabeth L. Johnson et al.
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George C. Linderman et al.
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Anmin Gong et al.
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Duan Li et al.
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Sezen Cekic et al.
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Elizabeth L. Johnson et al.
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Single-trial effective brain connectivity patterns enhance discriminability of mental imagery tasks
Dheeraj Rathee et al.
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Pengbo Yang et al.
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The influence of filtering and downsampling on the estimation of transfer entropy
Immo Weber et al.
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Functional connectivity and network analysis during hypoactive delirium and recovery from anesthesia
Tianne Numan et al.
CLINICAL NEUROPHYSIOLOGY (2017)
Functional connectivity among multi-channel EEGs when working memory load reaches the capacity
Dan Zhang et al.
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Stavros Dimitriadis et al.
IEEE TRANSACTIONS ON NEURAL SYSTEMS AND REHABILITATION ENGINEERING (2016)
Direction of information flow in large-scale resting-state networks is frequency-dependent
Arjan Hillebrand et al.
PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA (2016)
Discrimination of motor imagery tasks via information flow pattern of brain connectivity
Shuang Liang et al.
TECHNOLOGY AND HEALTH CARE (2016)
Contribution to Transfer Entropy Estimation via the k-Nearest-Neighbors Approach
Jie Zhu et al.
ENTROPY (2015)
Measures of Entropy From Data Using Infinitely Divisible Kernels
Luis Gonzalo Sanchez Giraldo et al.
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Michael X. Cohen
INTERNATIONAL JOURNAL OF PSYCHOPHYSIOLOGY (2015)
Measuring directionality between neuronal oscillations of different frequencies
Haiteng Jiang et al.
NEUROIMAGE (2015)
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Alexandre Hyafil et al.
TRENDS IN NEUROSCIENCES (2015)
Phase transfer entropy: A novel phase-based measure for directed connectivity in networks coupled by oscillatory interactions
Muriel Lobier et al.
NEUROIMAGE (2014)
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Sebastien Hetu et al.
NEUROSCIENCE AND BIOBEHAVIORAL REVIEWS (2013)
Measuring Information-Transfer Delays
Michael Wibral et al.
PLOS ONE (2013)
Time-Delayed Mutual Information of the Phase as a Measure of Functional Connectivity
Andreas Wilmer et al.
PLOS ONE (2012)
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Stefan Debener et al.
PSYCHOPHYSIOLOGY (2012)
Review of the BCI competition IV
Michael Tangermann et al.
FRONTIERS IN NEUROSCIENCE (2012)
TRENTOOL: A Matlab open source toolbox to analyse information flow in time series data with transfer entropy
Michael Lindner et al.
BMC NEUROSCIENCE (2011)
Review of advanced techniques for the estimation of brain connectivity measured with EEG/MEG
V. Sakkalis
COMPUTERS IN BIOLOGY AND MEDICINE (2011)
Transfer entropy-a model-free measure of effective connectivity for the neurosciences
Raul Vicente et al.
JOURNAL OF COMPUTATIONAL NEUROSCIENCE (2011)
Validation of ICA as a tool to remove eye movement artifacts from EEG/ERP
Maarten Mennes et al.
PSYCHOPHYSIOLOGY (2010)
Granger Causality and Transfer Entropy Are Equivalent for Gaussian Variables
Lionel Barnett et al.
PHYSICAL REVIEW LETTERS (2009)
Robustly estimating the flow direction of information in complex physical systems
Guido Nolte et al.
PHYSICAL REVIEW LETTERS (2008)
Neural activity predicts individual differences in visual working memory capacity
EK Vogel et al.
NATURE (2004)
Evaluation of different measures of functional connectivity using a neural mass model
O David et al.
NEUROIMAGE (2004)
Estimating mutual information -: art. no. 066138
A Kraskov et al.
PHYSICAL REVIEW E (2004)
A neural mass model for MEG/EEG: coupling and neuronal dynamics
O David et al.
NEUROIMAGE (2003)
Measuring information transfer
T Schreiber
PHYSICAL REVIEW LETTERS (2000)
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