Multiscale temporal neural dynamics predict performance in a complex sensorimotor task
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Wojciech Samek | Gabriel Curio | Benjamin Blankertz | Klaus-Robert Müller | Vadim V. Nikulin | Duncan A. J. Blythe | K. Müller | G. Curio | W. Samek | B. Blankertz | V. Nikulin
[1] K. Linkenkaer-Hansen,et al. Neuronal long-range temporal correlations and avalanche dynamics are correlated with behavioral scaling laws , 2013, Proceedings of the National Academy of Sciences.
[2] Imen Kammoun,et al. Asymptotic Properties of the Detrended Fluctuation Analysis of Long-Range-Dependent Processes , 2008, IEEE Transactions on Information Theory.
[3] Jacob Cohen. Statistical Power Analysis for the Behavioral Sciences , 1969, The SAGE Encyclopedia of Research Design.
[4] Motoaki Kawanabe,et al. Toward Unsupervised Adaptation of LDA for Brain–Computer Interfaces , 2011, IEEE Transactions on Biomedical Engineering.
[5] Woodrow L. Shew,et al. Information Capacity and Transmission Are Maximized in Balanced Cortical Networks with Neuronal Avalanches , 2010, The Journal of Neuroscience.
[6] Vadim V. Nikulin,et al. Attenuation of long-range temporal correlations in the amplitude dynamics of alpha and beta neuronal oscillations in patients with schizophrenia , 2012, NeuroImage.
[7] F. L. D. Silva,et al. Event-related EEG/MEG synchronization and desynchronization: basic principles , 1999, Clinical Neurophysiology.
[8] D. Percival,et al. Physiological time series: distinguishing fractal noises from motions , 2000, Pflügers Archiv.
[10] John M. Beggs,et al. Neuronal Avalanches in Neocortical Circuits , 2003, The Journal of Neuroscience.
[11] Tang,et al. Self-Organized Criticality: An Explanation of 1/f Noise , 2011 .
[12] G. Pfurtscheller,et al. Optimal spatial filtering of single trial EEG during imagined hand movement. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[13] Stefan Haufe,et al. The effect of linear mixing in the EEG on Hurst exponent estimation , 2014, NeuroImage.
[14] Arjen van Ooyen,et al. Genetic Contributions to Long-Range Temporal Correlations in Ongoing Oscillations , 2007, The Journal of Neuroscience.
[15] Woodrow L. Shew,et al. Neuronal Avalanches Imply Maximum Dynamic Range in Cortical Networks at Criticality , 2009, The Journal of Neuroscience.
[16] A. Ioannides,et al. Continuous probabilistic solutions to the biomagnetic inverse problem , 1990 .
[17] M. Jeannerod. The representing brain: Neural correlates of motor intention and imagery , 1994, Behavioral and Brain Sciences.
[18] Saskia Haegens,et al. Somatosensory Anticipatory Alpha Activity Increases to Suppress Distracting Input , 2012, Journal of Cognitive Neuroscience.
[19] Stefan Haufe,et al. Large-scale EEG/MEG source localization with spatial flexibility , 2011, NeuroImage.
[20] J. Palva,et al. New vistas for α-frequency band oscillations , 2007, Trends in Neurosciences.
[21] Andreas Daffertshofer,et al. Model selection for identifying power-law scaling , 2015, NeuroImage.
[22] Klaus-Robert Müller,et al. Predicting BCI Subject Performance Using Probabilistic Spatio-Temporal Filters , 2014, PloS one.
[23] R. VanRullen,et al. Spontaneous EEG oscillations reveal periodic sampling of visual attention , 2010, Proceedings of the National Academy of Sciences.
[24] D. Plenz,et al. Spontaneous cortical activity in awake monkeys composed of neuronal avalanches , 2009, Proceedings of the National Academy of Sciences.
[25] Dominique L. Pritchett,et al. Cued Spatial Attention Drives Functionally Relevant Modulation of the Mu Rhythm in Primary Somatosensory Cortex , 2010, The Journal of Neuroscience.
[26] A. Eke,et al. Fractal characterization of complexity in temporal physiological signals , 2002, Physiological measurement.
[27] K. Linkenkaer-Hansen,et al. Stimulus‐induced change in long‐range temporal correlations and scaling behaviour of sensorimotor oscillations , 2004, The European journal of neuroscience.
[28] G. Pfurtscheller,et al. Patterns of cortical activation during planning of voluntary movement. , 1989, Electroencephalography and clinical neurophysiology.
[29] D. Chialvo. Are our senses critical? , 2006 .
[30] Klaus-Robert Müller,et al. Neurophysiological predictor of SMR-based BCI performance , 2010, NeuroImage.
[31] M. Jeannerod. Neural Simulation of Action: A Unifying Mechanism for Motor Cognition , 2001, NeuroImage.
[32] Gabriel Curio,et al. Quasi-movements: A novel motor–cognitive phenomenon , 2008, Neuropsychologia.
[33] L. Oxley,et al. Estimators for Long Range Dependence: An Empirical Study , 2009, 0901.0762.
[34] Stefan Haufe,et al. Now You'll Feel It, Now You Won't: EEG Rhythms Predict the Effectiveness of Perceptual Masking , 2009, Journal of Cognitive Neuroscience.
[35] C. Peng,et al. Mosaic organization of DNA nucleotides. , 1994, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.
[36] Arjen van Ooyen,et al. Altered temporal correlations in parietal alpha and prefrontal theta oscillations in early-stage Alzheimer disease , 2009, Proceedings of the National Academy of Sciences.
[37] H. Laufs,et al. Breakdown of long-range temporal dependence in default mode and attention networks during deep sleep , 2013, Proceedings of the National Academy of Sciences.
[38] C. Richards,et al. Brain activity during visual versus kinesthetic imagery: An fMRI study , 2009, Human brain mapping.
[39] P. Welch. The use of fast Fourier transform for the estimation of power spectra: A method based on time averaging over short, modified periodograms , 1967 .
[40] Christopher T. Kello,et al. Scaling laws in cognitive sciences , 2010, Trends in Cognitive Sciences.
[41] K. Linkenkaer-Hansen,et al. Critical-State Dynamics of Avalanches and Oscillations Jointly Emerge from Balanced Excitation/Inhibition in Neuronal Networks , 2012, The Journal of Neuroscience.
[42] Stefan Haufe,et al. Localization of class-related mu-rhythm desynchronization in motor imagery based Brain-Computer Interface sessions , 2010, 2010 Annual International Conference of the IEEE Engineering in Medicine and Biology.
[43] G Pfurtscheller,et al. Current trends in Graz Brain-Computer Interface (BCI) research. , 2000, IEEE transactions on rehabilitation engineering : a publication of the IEEE Engineering in Medicine and Biology Society.
[44] P ? ? ? ? ? ? ? % ? ? ? ? , 1991 .
[45] K. Linkenkaer-Hansen,et al. Long-Range Temporal Correlations in Resting-State Alpha Oscillations Predict Human Timing-Error Dynamics , 2013, The Journal of Neuroscience.
[46] T. Brismar,et al. Long-range temporal correlations in alpha and beta oscillations: effect of arousal level and test–retest reliability , 2004, Clinical Neurophysiology.
[47] K.-R. Muller,et al. Optimizing Spatial filters for Robust EEG Single-Trial Analysis , 2008, IEEE Signal Processing Magazine.
[48] O. Kinouchi,et al. Optimal dynamical range of excitable networks at criticality , 2006, q-bio/0601037.
[49] J. Decety. Do imagined and executed actions share the same neural substrate? , 1996, Brain research. Cognitive brain research.
[50] Klaus-Robert Müller,et al. Introduction to machine learning for brain imaging , 2011, NeuroImage.
[51] G. Curio,et al. Long‐range temporal correlations in the subthalamic nucleus of patients with Parkinson’s disease , 2012, The European journal of neuroscience.
[52] G. Curio,et al. Modulation of cortical neural dynamics during thalamic deep brain stimulation in patients with essential tremor , 2013, Neuroreport.
[53] K. Linkenkaer-Hansen,et al. Long-Range Temporal Correlations and Scaling Behavior in Human Brain Oscillations , 2001, The Journal of Neuroscience.
[54] Motoaki Kawanabe,et al. Stationary common spatial patterns for brain–computer interfacing , 2012, Journal of neural engineering.
[55] J. Palva,et al. Relationship of Fast- and Slow-Timescale Neuronal Dynamics in Human MEG and SEEG , 2015, The Journal of Neuroscience.
[56] Klaus-Robert Müller,et al. The non-invasive Berlin Brain–Computer Interface: Fast acquisition of effective performance in untrained subjects , 2007, NeuroImage.
[57] D. Altman,et al. Multiple significance tests: the Bonferroni method , 1995, BMJ.
[58] Pablo Balenzuela,et al. Criticality in Large-Scale Brain fMRI Dynamics Unveiled by a Novel Point Process Analysis , 2012, Front. Physio..
[59] B. Mandelbrot,et al. Fractional Brownian Motions, Fractional Noises and Applications , 1968 .