Frequency of alpha oscillation predicts individual differences in perceptual stability during binocular rivalry
暂无分享,去创建一个
[1] Katharine N. Thakkar,et al. Altered short-term neural plasticity related to schizotypal traits: Evidence from visual adaptation , 2019, Schizophrenia Research.
[2] Mark W. Becker,et al. Revisiting individual differences in the time course of binocular rivalry. , 2018, Journal of vision.
[3] S. Engel,et al. The Independent and Shared Mechanisms of Intrinsic Brain Dynamics: Insights From Bistable Perception , 2018, Front. Psychol..
[4] S. Engel,et al. Conflict-sensitive neurons gate interocular suppression in human visual cortex , 2018, Scientific Reports.
[5] Randolph Blake,et al. Individual differences in sensory eye dominance reflected in the dynamics of binocular rivalry , 2017, Vision Research.
[6] Michael X. Cohen,et al. Individual Alpha Peak Frequency Predicts 10 Hz Flicker Effects on Selective Attention , 2017, The Journal of Neuroscience.
[7] D. Melcher,et al. The Role of Oscillatory Phase in Determining the Temporal Organization of Perception: Evidence from Sensory Entrainment , 2017, The Journal of Neuroscience.
[8] G. Piantoni,et al. Alpha Power Predicts Persistence of Bistable Perception , 2017, Scientific Reports.
[9] S. Kastner,et al. Communication between Brain Areas Based on Nested Oscillations , 2017, eNeuro.
[10] O. Carter,et al. Personality Measures Link Slower Binocular Rivalry Switch Rates to Higher Levels of Self-Discipline , 2017, Front. Psychol..
[11] Terry K Koo,et al. A Guideline of Selecting and Reporting Intraclass Correlation Coefficients for Reliability Research. , 2016, Journal of chiropractic medicine.
[12] S. Engel,et al. Neurons that detect interocular conflict during binocular rivalry revealed with EEG. , 2016, Journal of vision.
[13] J. Aznar-Casanova,et al. Assessing Attention Deficit by Binocular Rivalry , 2015, Journal of attention disorders.
[14] B. Postle,et al. The Speed of Alpha-Band Oscillations Predicts the Temporal Resolution of Visual Perception , 2015, Current Biology.
[15] Adam Gazzaley,et al. Age-Related Changes in 1/f Neural Electrophysiological Noise , 2015, The Journal of Neuroscience.
[16] Sheng He,et al. Common and shared mechanisms underlying the temporal dynamics of bi-stable perception. , 2015, Journal of vision.
[17] Jürgen Kayser,et al. On the benefits of using surface Laplacian (current source density) methodology in electrophysiology. , 2015, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[18] R. Knight,et al. Dynamic Network Communication as a Unifying Neural Basis for Cognition, Development, Aging, and Disease , 2015, Biological Psychiatry.
[19] Gal Chechik,et al. A unifying principle underlying the extracellular field potential spectral responses in the human cortex. , 2015, Journal of neurophysiology.
[20] R. Blake,et al. Individual differences in the temporal dynamics of binocular rivalry and stimulus rivalry , 2015, Psychonomic bulletin & review.
[21] J. Mendola,et al. Individual peak gamma frequency predicts switch rate in perceptual rivalry , 2015, Human brain mapping.
[22] G. Rees,et al. Individual Differences in Alpha Frequency Drive Crossmodal Illusory Perception , 2015, Current Biology.
[23] Karl J. Friston,et al. Attentional Modulation of Alpha/Beta and Gamma Oscillations Reflect Functionally Distinct Processes , 2014, The Journal of Neuroscience.
[24] Derek H. Arnold,et al. Interpreting the Temporal Dynamics of Perceptual Rivalries , 2014, Perception.
[25] Biyu J. He. Scale-free brain activity: past, present, and future , 2014, Trends in Cognitive Sciences.
[26] Geraint Rees,et al. Energy landscape and dynamics of brain activity during human bistable perception , 2014, Nature Communications.
[27] Bart Gips,et al. Temporal coding organized by coupled alpha and gamma oscillations prioritize visual processing , 2014, Trends in Neurosciences.
[28] Saskia Haegens,et al. Inter- and intra-individual variability in alpha peak frequency , 2014, NeuroImage.
[29] Hiroki Yamamoto,et al. Activity in early visual areas predicts interindividual differences in binocular rivalry dynamics , 2013, Journal of neurophysiology.
[30] Hiroki Yamamoto,et al. differences in binocular rivalry dynamics Activity in early visual areas predicts interindividual , 2014 .
[31] Y. Saalmann,et al. Rhythmic Sampling within and between Objects despite Sustained Attention at a Cued Location , 2013, Current Biology.
[32] Dwight J. Kravitz,et al. Slower Rate of Binocular Rivalry in Autism , 2013, The Journal of Neuroscience.
[33] Ulman Lindenberger,et al. Individual alpha peak frequency is related to latent factors of general cognitive abilities , 2013, NeuroImage.
[34] Tomas Knapen,et al. GABA Shapes the Dynamics of Bistable Perception , 2013, Current Biology.
[35] Ling Li,et al. The Difference of Brain Functional Connectivity between Eyes-Closed and Eyes-Open Using Graph Theoretical Analysis , 2013, Comput. Math. Methods Medicine.
[36] Christopher P. Said,et al. Normal binocular rivalry in autism: Implications for the excitation/inhibition imbalance hypothesis , 2013, Vision Research.
[37] R. Porter,et al. Further evidence for slow binocular rivalry rate as a trait marker for bipolar disorder , 2013, The Australian and New Zealand journal of psychiatry.
[38] H. Supèr,et al. Onset Time of Binocular Rivalry and Duration of Inter-Dominance Periods as Psychophysical Markers of ADHD , 2013, Perception.
[39] Guillaume A. Rousselet,et al. Robust Correlation Analyses: False Positive and Power Validation Using a New Open Source Matlab Toolbox , 2012, Front. Psychology.
[40] P. Fries,et al. Attention Samples Stimuli Rhythmically , 2012, Current Biology.
[41] Geraint Rees,et al. Variability of perceptual multistability: from brain state to individual trait , 2012, Philosophical Transactions of the Royal Society B: Biological Sciences.
[42] Joshua B. Tenenbaum,et al. Multistability and Perceptual Inference , 2012, Neural Computation.
[43] Jochen Braun,et al. Increased Readiness for Adaptation and Faster Alternation Rates Under Binocular Rivalry in Children , 2011, Front. Hum. Neurosci..
[44] Ole Jensen,et al. Alpha Oscillations Correlate with the Successful Inhibition of Unattended Stimuli , 2011, Journal of Cognitive Neuroscience.
[45] Peng Zhang,et al. Binocular Rivalry Requires Visual Attention , 2011, Neuron.
[46] K. Mathewson,et al. Pulsed Out of Awareness: EEG Alpha Oscillations Represent a Pulsed-Inhibition of Ongoing Cortical Processing , 2011, Front. Psychology.
[47] Sheng He,et al. Genes contribute to the switching dynamics of bistable perception. , 2011, Journal of vision.
[48] Steven Mark Miller,et al. Psychiatric and genetic studies of binocular rivalry: an endophenotype for bipolar disorder? , 2011, Acta Neuropsychiatrica.
[49] N. Logothetis,et al. Disrupting Parietal Function Prolongs Dominance Durations in Binocular Rivalry , 2010, Current Biology.
[50] B. Bahrami,et al. Human Parietal Cortex Structure Predicts Individual Differences in Perceptual Rivalry , 2010, Current Biology.
[51] V. Walsh,et al. Right parietal TMS shortens dominance durations in binocular rivalry , 2010, Current Biology.
[52] O. Jensen,et al. Shaping Functional Architecture by Oscillatory Alpha Activity: Gating by Inhibition , 2010, Front. Hum. Neurosci..
[53] Biyu J. He,et al. The Temporal Structures and Functional Significance of Scale-free Brain Activity , 2010, Neuron.
[54] C. Clifford. Binocular rivalry , 2009, Current Biology.
[55] A. Yoshino,et al. Difference in binocular rivalry rate between patients with bipolar I and bipolar II disorders. , 2009, Bipolar disorders.
[56] R. VanRullen,et al. The Phase of Ongoing EEG Oscillations Predicts Visual Perception , 2009, The Journal of Neuroscience.
[57] Nava Rubin,et al. Balance between noise and adaptation in competition models of perceptual bistability , 2009, Journal of Computational Neuroscience.
[58] Karl J. Friston,et al. Predictive coding explains binocular rivalry: An epistemological review , 2008, Cognition.
[59] Enhancement of bistable perception associated with visual stimulus rivalry , 2008, Psychonomic bulletin & review.
[60] R. Sundareswara,et al. Perceptual multistability predicted by search model for Bayesian decisions. , 2008, Journal of vision.
[61] W. Freeman,et al. Simulated power spectral density (PSD) of background electrocorticogram (ECoG) , 2008, Cognitive Neurodynamics.
[62] J. Rinzel,et al. Noise-induced alternations in an attractor network model of perceptual bistability. , 2007, Journal of neurophysiology.
[63] Denis G. Pelli,et al. ECVP '07 Abstracts , 2007, Perception.
[64] A. Yoshino,et al. Accelerated binocular rivalry with anxious personality , 2007, Physiology & Behavior.
[65] Terrence J. Sejnowski,et al. Enhanced detection of artifacts in EEG data using higher-order statistics and independent component analysis , 2007, NeuroImage.
[66] W. Klimesch,et al. EEG alpha oscillations: The inhibition–timing hypothesis , 2007, Brain Research Reviews.
[67] Richard H. A. H. Jacobs,et al. The time course of binocular rivalry reveals a fundamental role of noise. , 2006, Journal of vision.
[68] J. Polich,et al. Meditation states and traits: EEG, ERP, and neuroimaging studies. , 2006, Psychological bulletin.
[69] C. Tenke,et al. Principal components analysis of Laplacian waveforms as a generic method for identifying ERP generator patterns: II. Adequacy of low-density estimates , 2006, Clinical Neurophysiology.
[70] Jürgen Kayser,et al. Principal components analysis of Laplacian waveforms as a generic method for identifying ERP generator patterns: I. Evaluation with auditory oddball tasks , 2006, Clinical Neurophysiology.
[71] Yee-Joon Kim,et al. Stochastic resonance in binocular rivalry , 2006, Vision Research.
[72] J. Pettigrew,et al. Meditation alters perceptual rivalry in Tibetan Buddhist monks , 2005, Current Biology.
[73] Diane M. Tomasic,et al. Meta-Analysis: A Comparison of Approaches , 2005 .
[74] F. Tong,et al. Can attention selectively bias bistable perception? Differences between binocular rivalry and ambiguous figures. , 2004, Journal of vision.
[75] E. Gordon,et al. Spontaneous alpha peak frequency predicts working memory performance across the age span. , 2004, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[76] John Kounios,et al. Peak alpha frequency: an electroencephalographic measure of cognitive preparedness , 2004, Clinical Neurophysiology.
[77] Arnaud Delorme,et al. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis , 2004, Journal of Neuroscience Methods.
[78] K. Ukai,et al. Binocular Rivalry Alternation Rate Declines with Age , 2003, Perceptual and motor skills.
[79] Steven Mark Miller,et al. Slow binocular rivalry in bipolar disorder , 2003, Psychological Medicine.
[80] C. Koch,et al. Is perception discrete or continuous? , 2003, Trends in Cognitive Sciences.
[81] J. Pettigrew,et al. A Common Oscillator for Perceptual Rivalries? , 2003, Perception.
[82] M. Neale,et al. Are Smarter Brains Running Faster? Heritability of Alpha Peak Frequency, IQ, and Their Interrelation , 2001, Behavior genetics.
[83] J. Pettigrew. Searching for the Switch: Neural Bases for Perceptual Rivalry Alternations , 2001 .
[84] W. Klimesch. EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis , 1999, Brain Research Reviews.
[85] J. Pettigrew,et al. A ‘sticky’ interhemispheric switch in bipolar disorder? , 1998, Proceedings of the Royal Society of London. Series B: Biological Sciences.
[86] Peter Dayan,et al. A Hierarchical Model of Binocular Rivalry , 1998, Neural Computation.
[87] Julián J. González,et al. Non-linear behaviour of human EEG: fractal exponent versus correlation dimension in awake and sleep stages , 1998, Neuroscience Letters.
[88] A. Norcia,et al. A method for investigating binocular rivalry in real-time with the steady-state VEP , 1997, Vision Research.
[89] D G Pelli,et al. The VideoToolbox software for visual psychophysics: transforming numbers into movies. , 1997, Spatial vision.
[90] D H Brainard,et al. The Psychophysics Toolbox. , 1997, Spatial vision.
[91] G. Pfurtscheller,et al. Event-related synchronization (ERS) in the alpha band--an electrophysiological correlate of cortical idling: a review. , 1996, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[92] A. Anokhin,et al. EEG Alpha rhythm frequency and intelligence in normal adults , 1996 .
[93] K. McGraw,et al. Forming inferences about some intraclass correlation coefficients. , 1996 .
[94] S. Sponheim,et al. Resting EEG in first-episode schizophrenia patients, bipolar psychosis patients, and their first-degree relatives. , 1994, Psychophysiology.
[95] F. Macciardi,et al. Alpha reactivity in schizophrenia and in schizophrenic spectrum disorders: demographic, clinical and hemispheric assessment. , 1989, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.
[96] F. Perrin,et al. Spherical splines for scalp potential and current density mapping. , 1989, Electroencephalography and clinical neurophysiology.
[97] David Regan,et al. A frequency domain technique for characterizing nonlinearities in biological systems , 1988 .
[98] J. Fermaglich. Electric Fields of the Brain: The Neurophysics of EEG , 1982 .
[99] P. Nunez,et al. Electric fields of the brain , 1981 .
[100] D Giannitrapani,et al. Schizophrenia and EEG spectral analysis. , 1974, Electroencephalography and clinical neurophysiology.
[101] J. Hueting,et al. Individual and interindividual differences in binocular retinal rivalry in man. , 1966, Psychophysiology.
[102] M. Kendall. Statistical Methods for Research Workers , 1937, Nature.