0000-0003-0006-8729
An Introduction to Bayesian Multilevel Models Using brms: A Case Study of Gender Effects on Vowel Variability in Standard Indonesian
robustclearexciting
Sharing and organizing research products as R packages
clearexciting
The Generalizability Crisis
The Evolution of Data Sharing Practices in the Psychological Literature
Using cluster‐based permutation tests to estimate MEG/EEG onsets: How bad is it?
More Reasons Why Replication Is A Difficult Issue
A quantile shift approach to main effects and interactions in a 2-by-2 design
Using cluster-based permutation tests to estimate MEG/EEG onsets: how bad is it?
Bias in data-driven estimates of the replicability of univariate brain-wide association studies
Can Prediction Error Explain Predictability Effects on the N1 during Picture-Word Verification?
A quantile shift approach to main effects and interactions in a 2-by-2 design reproducibility package
An Updated Guide to Robust Statistical Methods in Neuroscience
An updated guide to robust statistical methods in neuroscience
Rating norms should be calculated from cumulative link mixed effects models
Rating Norms Should be Calculated from Cumulative Link Mixed Effects Models
The Percentile Bootstrap: A Primer With Step-by-Step Instructions in R
Reaction Times and other Skewed Distributions
Healthy aging delays the neural processing of face features relevant for behavior by 40 ms
Using simulations to explore sampling distributions: an antidote to hasty and extravagant inferences
The percentile bootstrap: a primer with step-by-step instructions in R
An introduction to the bootstrap: a versatile method to make inferences by using data-driven simulations
Reaction times and other skewed distributions: problems with the mean and the median
Promoting and supporting credibility in neuroscience
Beyond differences in means: robust graphical methods to compare two groups in neuroscience
A Guide to Robust Statistical Methods in Neuroscience
A few simple steps to improve the description of group results in neuroscience.
A statistical framework for neuroimaging data analysis based on mutual information estimated via a Gaussian copula
The Deceptively Simple N170 Reflects Network Information Processing Mechanisms Involving Visual Feature Coding and Transfer Across Hemispheres
Tracing the Flow of Perceptual Features in an Algorithmic Brain Network.
Early ERPs to faces: Aging, luminance, and individual differences
Robust correlation analyses: False positive and power validation using a new open source matlab toolbox
Does filtering preclude us from studying ERP time-courses?
Early ERPs to faces and objects are driven by phase, not amplitude spectrum information: Evidence from parametric, test-retest, single-subject analyses
Improving standards in brain-behavior correlation analyses
LIMO EEG: A toolbox for hierarchical linear modeling of electroencephalographic data
Modeling single-trial ERP reveals modulation of bottom-up face visual processing by top-down task constraints (in some subjects)
Quantifying the time course of visual object processing using ERPs: It's time to up the game
Reliability of ERP and single-trial analyses
Robust statistics show no evidence for a relationship between fiber density and memory performance
Single-trial analyses: Why bother?
Visual object categorization in the brain: What can we really learn from ERP peaks?
Healthy aging delays scalp EEG sensitivity to noise in a face discrimination task
Inverting faces elicits sensitivity to race on the N170 component: A cross-cultural study
Neural repetition suppression to identity is abolished by other-race faces
Vocal Attractiveness Increases by Averaging
Age-related delay in information accrual for faces: Evidence from a parametric, single-trial EEG approach
Brain classification reveals the right cerebellum as the best biomarker of dyslexia
Electrophysiological evidence for an early processing of human voices
How do amplitude spectra influence rapid animal detection?
Rapid visual categorization of natural scene contexts with equalized amplitude spectrum and increasing phase noise
Early interference of context congruence on object processing in rapid visual categorization of natural scenes
Parametric study of EEG sensitivity to phase noise during face processing
Time course and robustness of ERP object and face differences
Controlling interstimulus perceptual variance does not abolish N170 face sensitivity [1]
Limits of event-related potential differences in tracking object processing speed
Processing scene context: Fast categorization and object interference
Single-trial EEG dynamics of object and face visual processing
How long to get to the "gist" of real-world natural scenes?
Spatial scaling factors explain eccentricity effects on face ERPs
Animal and human faces in natural scenes: How specific to human faces is the N170 ERP component?
Comparing animal and face processing in the context of natural scenes using a fast categorization task
How parallel is visual processing in the ventral pathway?
Interaction of top-down and bottom-up processing in the fast visual analysis of natural scenes
Processing of one, two or four natural scenes in humans: The limits of parallelism
Spatiotemporal analyses of the N170 for human faces, animal faces and objects in natural scenes
Is it an animal? Is it a human face? Fast processing in upright and inverted natural scenes
Taking the MAX from neuronal responses
Parallel processing in high-level categorization of natural images
Controlling interstimulus perceptual variance does not abolish N170 face sensitivity
Does Filtering Preclude Us from Studying ERP Time-Courses?
How long to get to the “gist” of real-world natural scenes?
LIMO EEG: A Toolbox for Hierarchical LInear MOdeling of ElectroEncephaloGraphic Data
Processing of one, two or four natural scenes in humans: the limits of parallelism
Quantifying the Time Course of Visual Object Processing Using ERPs: It's Time to Up the Game
Single-Trial Analyses: Why Bother?
Visual Object Categorization in the Brain: What Can We Really Learn from ERP Peaks?
0000-0003-0006-8729
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