G. Rousselet

发表

Is it an animal? Is it a human face? Fast processing in upright and inverted natural scenes.

G. Rousselet, M. Macé, M. Fabre-Thorpe, 2003, Journal of vision.

How long to get to the “gist” of real-world natural scenes?

Olivier R. Joubert, G. Rousselet, M. Fabre-Thorpe, 2005 .

Taking the MAX from neuronal responses

S. Thorpe, G. Rousselet, M. Fabre-Thorpe, 2003, Trends in Cognitive Sciences.

How parallel is visual processing in the ventral pathway?

S. Thorpe, G. Rousselet, M. Fabre-Thorpe, 2004, Trends in Cognitive Sciences.

Reliability of ERP and single-trial analyses

Guillaume A. Rousselet, Cyril R. Pernet, Carl M. Gaspar, 2011, NeuroImage.

Vocal Attractiveness Increases by Averaging

Hideki Kawahara, G. Rousselet, P. Belin, 2010, Current Biology.

Parametric study of EEG sensitivity to phase noise during face processing

G. Rousselet, P. Bennett, C. Pernet, 2008, BMC Neuroscience.

Jesse S. Husk, G. Rousselet, P. Bennett, 2009, BMC Neuroscience.

Dissociable effects of prediction and integration during language comprehension: Evidence from a large-scale study using brain potentials

Mante S. Nieuwland, G. Rousselet, D. Barr, 2018, bioRxiv.

Nieuwland, M. S. et al. (2020) Dissociable effects of prediction and integration during language comprehension: evidence from a large-scale study using brain

Mante S. Nieuwland, G. Rousselet, D. Barr, 2019 .

Jesse S. Husk, G. Rousselet, P. Bennett, 2010 .

Time course and robustness of ERP object and face differences Centre for Cognitive Neuroimaging

Jesse S. Husk, G. Rousselet, P. Bennett, 2008 .

Animal and human faces in natural scenes: How specific to human faces is the N170 ERP component?

G. Rousselet, M. Macé, M. Fabre-Thorpe, 2004, Journal of vision.

Spatial scaling factors explain eccentricity effects on face ERPs.

Jesse S. Husk, G. Rousselet, P. Bennett, 2005, Journal of vision.

Early ERPs to faces and objects are driven by phase, not amplitude spectrum information: evidence from parametric, test-retest, single-subject analyses.

G. Rousselet, C. Pernet, Magdalena M. Bieniek, 2012, Journal of vision.

How do amplitude spectra influence rapid animal detection?

G. Rousselet, C. Gaspar, 2009, Vision Research.

Time course and robustness of ERP object and face differences.

Jesse S. Husk, G. Rousselet, P. Bennett, 2008, Journal of vision.

Neural repetition suppression to identity is abolished by other-race faces

G. Rousselet, L. Vizioli, R. Caldara, 2010, Proceedings of the National Academy of Sciences.

Large-scale replication study reveals a limit on probabilistic prediction in language comprehension

Mante S. Nieuwland, G. Rousselet, D. Barr, 2018, eLife.

Single-Trial Analyses: Why Bother?

G. Rousselet, P. Sajda, C. Pernet, 2011, Front. Psychology.

Healthy Aging Delays Scalp EEG Sensitivity to Noise in a Face Discrimination Task

Guillaume A. Rousselet, Allison B. Sekuler, Patrick J. Bennett, 2010, Front. Psychology.

Early ERPs to faces: aging, luminance, and individual differences

Guillaume A. Rousselet, G. Rousselet, Magdalena M. Bieniek, 2013, Front. Psychol..

version Nieuwland , Mante and Politzer-Ahles , Stephen and Heyselaar , Evelien and Segaert , Katrien and

Mante S. Nieuwland, G. Rousselet, D. Barr, 2022 .

The time course of visual influences in letter recognition

F.-Xavier Alario, Jonathan Grainger, Thierry Legou, 2016, Cognitive, affective & behavioral neuroscience.

Processing of one, two or four natural scenes in humans: the limits of parallelism

Guillaume A. Rousselet, Michèle Fabre-Thorpe, Simon J. Thorpe, 2004, Vision Research.

With Age Comes Representational Wisdom in Social Signals

Guillaume A. Rousselet, Philippe G. Schyns, Nicola van Rijsbergen, 2014, Current Biology.

tional Wisdom in Social Signals

P. Schyns, G. Rousselet, Katarzyna Jaworska, 2014 .

Beyond differences in means: robust graphical methods to compare two groups in neuroscience

G. Rousselet, R. Wilcox, C. Pernet, 2017, bioRxiv.

Electrophysiological evidence of dynamic ignoring

R. Sekuler, G. Rousselet, P. Bennett, 2005 .

Les mécanismes de l'attention visuelle

Guillaume A. Rousselet, Michèle Fabre-Thorpe, G. Rousselet, 2003 .

Visual Object Categorization in the Brain: What Can We Really Learn from ERP Peaks?

P. Schyns, G. Rousselet, C. Pernet, 2011, Front. Hum. Neurosci..

Healthy ageing delays the neural processing of face features relevant for behaviour by 40 ms

Robin A. A. Ince, P. Schyns, G. Rousselet, 2019 .

Edinburgh Improving standards in brain-behavior correlation analyses

G. Rousselet, C. Pernet, 2018 .

Edinburgh Explorer Quantifying the Time Course of Visual Object Processing Using ERPs

G. Rousselet, C. Pernet, 2011 .

The Percentile Bootstrap: A Primer With Step-by-Step Instructions in R

G. Rousselet, R. Wilcox, C. Pernet, 2019, Advances in Methods and Practices in Psychological Science.

Rating norms should be calculated from cumulative link mixed effects models

G. Rousselet, Christoph Scheepers, S. Sereno, 2021, Behavior Research Methods.

Single-subject analyses of magnetoencephalographic evoked responses to the acoustic properties of affective non-verbal vocalizations

G. Rousselet, J. Gross, C. Pernet, 2014, Front. Neurosci..

Report Vocal Attractiveness Increases by Averaging

Hideki Kawahara, G. Rousselet, P. Belin, 2010 .

Early interference of context congruence on object processing in rapid visual categorization of natural scenes.

Guillaume A. Rousselet, Olivier R. Joubert, Denis Fize, 2008, Journal of vision.

Inverting faces elicits sensitivity to race on the N170 component: a cross-cultural study.

Guillaume A Rousselet, Roberto Caldara, Luca Vizioli, 2010, Journal of vision.

Brain classification reveals the right cerebellum as the best biomarker of dyslexia

Cyril R Pernet, Guillaume A Rousselet, J B Poline, 2009, BMC Neuroscience.

ElectroEncephaloGraphy robust statistical linear modelling using a single weight per trial

A. Delorme, G. Rousselet, R. Wilcox, 2022, bioRxiv.

1 1 Robust linear modelling in ElectroEncephaloGraphy can be obtained 2 using single weights reflecting each single trials ’ dynamics 3 4 5

A. Delorme, G. Rousselet, R. Wilcox, 2021 .

ElectroEncephaloGraphy robust linear modelling using weights reflecting single trials’ dynamics

A. Delorme, G. Rousselet, R. Wilcox, 2021 .

Healthy aging delays the neural processing of face features relevant for behavior by 40 ms

Robin A A Ince, Philippe G Schyns, Robin A. A. Ince, 2019, Human brain mapping.

Spatiotemporal analyses of the N170 for human faces, animal faces and objects in natural scenes

Guillaume A. Rousselet, Michèle Fabre-Thorpe, G. Rousselet, 2004, Neuroreport.

A few simple steps to improve the description of group results in neuroscience

Guillaume A. Rousselet, John J. Foxe, J. Paul Bolam, 2016, The European journal of neuroscience.

Promoting and supporting credibility in neuroscience

Guillaume A. Rousselet, Georgina Hazell, Anne Cooke, 2019, Brain and neuroscience advances.

Single-trial EEG dynamics of object and face visual processing

Guillaume A. Rousselet, Allison B. Sekuler, Patrick J. Bennett, 2007, NeuroImage.

A statistical framework for neuroimaging data analysis based on mutual information estimated via a gaussian copula

Guillaume A. Rousselet, Joachim Gross, Christoph Kayser, 2016, bioRxiv.

Improving standards in brain-behavior correlation analyses

Guillaume A. Rousselet, Cyril R. Pernet, G. Rousselet, 2012, Front. Hum. Neurosci..

Reaction times and other skewed distributions: problems with the mean and the median

Guillaume A. Rousselet, Rand R. Wilcox, G. Rousselet, 2018, bioRxiv.

Robust Correlation Analyses: False Positive and Power Validation Using a New Open Source Matlab Toolbox

Guillaume A. Rousselet, Rand Wilcox, Cyril R. Pernet, 2012, Front. Psychology.

A Guide to Robust Statistical Methods in Neuroscience

Guillaume A Rousselet, Rand R Wilcox, G. Rousselet, 2017, bioRxiv.

Beyond differences in means: robust graphical methods to compare two groups in neuroscience

Cyril R Pernet, Guillaume A Rousselet, Rand R Wilcox, 2017, bioRxiv.

luster-based computational methods for mass univariate analyses f event-related brain potentials / fields : A simulation study

Thomas E. Nichols, C.R. Pernet, M. Latinus, 2022 .

Limits on prediction in language comprehension: A multi-lab failure to replicate evidence for probabilistic pre-activation of phonology

Guillaume A. Rousselet, Shirley-Ann Rueschemeyer, Aine Ito, 2017, bioRxiv.

Interaction of top-down and bottom-up processing in the fast visual analysis of natural scenes.

Michèle Fabre-Thorpe, Arnaud Delorme, Guillaume A Rousselet, 2004, Brain research. Cognitive brain research.

Rapid visual categorization of natural scene contexts with equalized amplitude spectrum and increasing phase noise.

Guillaume A. Rousselet, Olivier R. Joubert, Denis Fize, 2009, Journal of vision.

LIMO EEG: A Toolbox for Hierarchical LInear MOdeling of ElectroEncephaloGraphic Data

Guillaume A. Rousselet, Cyril R. Pernet, Carl M. Gaspar, 2011, Comput. Intell. Neurosci..

Eye coding mechanisms in early human face event-related potentials.

Robin A A Ince, Philippe G Schyns, Robin A. A. Ince, 2014, Journal of vision.

Modeling Single-Trial ERP Reveals Modulation of Bottom-Up Face Visual Processing by Top-Down Task Constraints (in Some Subjects)

Guillaume A. Rousselet, Cyril R. Pernet, Carl M. Gaspar, 2011, Frontiers in psychology.

An Updated Guide to Robust Statistical Methods in Neuroscience

G. Rousselet, R. Wilcox, Guillaume A. Rousselet, 2023, Current protocols.

Improved methods for making inferences about multiple skipped correlations

Cyril Pernet, Rand Wilcox, Guillaume Rousselet, 2018, Journal of Statistical Computation and Simulation.

The time course of visual influences in letter recognition

J. Grainger, G. Rousselet, A. Rey, 2016, Cognitive, Affective, & Behavioral Neuroscience.

Quantifying the Time Course of Visual Object Processing Using ERPs: It's Time to Up the Game

Guillaume A. Rousselet, Cyril R. Pernet, G. Rousselet, 2011, Front. Psychology.

Electrophysiological evidence for an early processing of human voices

Pascal Belin, Marianne Latinus, Ian Charest, 2009, BMC Neuroscience.

Limits of Event-related Potential Differences in Tracking Object Processing Speed

Guillaume A. Rousselet, Michèle Fabre-Thorpe, Simon J. Thorpe, 2007, Journal of Cognitive Neuroscience.

Animal and human faces in natural scenes: How specific to human faces is the N170 ERP component?

Michèle Fabre-Thorpe, Guillaume A Rousselet, G. Rousselet, 2004, Journal of vision.

Does Filtering Preclude Us from Studying ERP Time-Courses?

Guillaume A. Rousselet, G. Rousselet, 2012, Front. Psychology.

Parallel processing in high-level categorization of natural images

Guillaume A. Rousselet, Michèle Fabre-Thorpe, Simon J. Thorpe, 2002, Nature Neuroscience.

Tracing the Flow of Perceptual Features in an Algorithmic Brain Network

Guillaume A. Rousselet, Stefano Panzeri, Joachim Gross, 2015, Scientific Reports.

Comparing animal and face processing in the context of natural scenes using a fast categorization task

Guillaume A. Rousselet, Michèle Fabre-Thorpe, Marc J.-M. Macé, 2004, Neurocomputing.

A robust and representative lower bound on object processing speed in humans

Guillaume A. Rousselet, Allison B. Sekuler, Patrick J. Bennett, 2015, The European journal of neuroscience.

Dissociable effects of prediction and integration during language comprehension: Evidence from a large-scale study using brain potentials

Heather J. Ferguson, Shirley-Ann Rueschemeyer, Aine Ito, 2018, bioRxiv.

Processing scene context: Fast categorization and object interference

Guillaume A. Rousselet, Olivier R. Joubert, Denis Fize, 2007, Vision Research.

Controlling interstimulus perceptual variance does not abolish N170 face sensitivity

Bruno Rossion, Philippe G Schyns, Margot J. Taylor, 2007, Nature Neuroscience.

Eccentricity effects on the N170 face ERP component can be eliminated by size scaling

Guillaume A. Rousselet, Allison B. Sekuler, Patrick J. Bennett, 2005 .

The Deceptively Simple N170 Reflects Network Information Processing Mechanisms Involving Visual Feature Coding and Transfer Across Hemispheres

Guillaume A. Rousselet, Stefano Panzeri, Joachim Gross, 2016, bioRxiv.

Factors influencing the latency of simple reaction time

E. William Yund, Timothy J. Herron, David L. Woods, 2015, Front. Hum. Neurosci..

Can Prediction Error Explain Predictability Effects on the N1 during Picture-Word Verification?

G. Rousselet, S. Sereno, J. E. Taylor, 2023, bioRxiv.

This Reprint May Differ from the Original in Pagination and Typographic Detail. Event-related Potentials to Unattended Changes in Facial Expressions: Detection of Regularity Violations or Encoding of Emotions?

G. Rousselet, J. Hietanen, P. Astikainen, 2022 .

High Density

F. J. Álvarez, John J. Foxe, London, 2023 .

Single-trial Regression Elucidates the Role of Prefrontal Theta Oscillations in Response Conflict Correlating Single-trial Brain and Behavior Dynamics a Dynamic Solution: Single-trial Multiple Regression

G. Rousselet, G. Thut, J. Cavanagh, 2022 .

The electrophysiology of language production: what could be improved

Guillaume A. Rousselet, Lesya Ganushchak, F-Xavier Alario, 2015 .

A quantile shift approach to main effects and interactions in a 2-by-2 design

G. Rousselet, R. Wilcox, 2023, Methodology.

Human Neuroscience Original Research Article Correlated Components of Ongoing Eeg Point to Emotionally Laden Attention – a Possible Marker of Engagement?

L. Parra, G. Rousselet, P. Sajda, 2022 .

Early interference of context congruence on object processing in rapid visual categorization of natural scenes.

Olivier R. Joubert, G. Rousselet, M. Fabre-Thorpe, 2008, Journal of vision.

E. Yund, G. Rousselet, C. Pernet, 2015, Front. Hum. Neurosci..

Early ERPs to faces and objects are driven by phase, not amplitude spectrum information: evidence from parametric, test-retest, single-subject analyses.

G. Rousselet, C. Pernet, Magdalena M. Bieniek, 2012, Journal of vision.

Quantifying the Time Course of Visual Object Processing Using ERPs: It's Time to Up the Game

G. Rousselet, C. Pernet, 2011, Front. Psychology.

Time course and robustness of ERP object and face differences.

Jesse S. Husk, G. Rousselet, P. Bennett, 2008, Journal of vision.

Article in Press G Model Journal of Neuroscience Methods Cluster-based Computational Methods for Mass Univariate Analyses of Event-related Brain Potentials/fields: a Simulation Study

Thomas E. Nichols, G. Rousselet, C. Pernet, 2022 .

Human Neuroscience Original Research Article Correlated Components of Ongoing Eeg Point to Emotionally Laden Attention – a Possible Marker of Engagement?

L. Parra, G. Rousselet, P. Sajda, 2022 .

Inverting faces elicits sensitivity to race on the N170 component: a cross-cultural study.

G. Rousselet, L. Vizioli, R. Caldara, 2010, Journal of vision.

Cluster-based computational methods for mass univariate analyses of event-related brain potentials/fields: A simulation study

Thomas E. Nichols, G. Rousselet, C. Pernet, 2015, Journal of Neuroscience Methods.

Quantifying the time course of visual object processing using ERPs : it ’ s time to up the game

G. Rousselet, Cyril R Pernet, 2016 .

Can Prediction Error Explain Predictability Effects on the N1 during Picture-Word Verification?

G. Rousselet, S. Sereno, J. E. Taylor, 2024, bioRxiv.

Data-driven estimates of the reproducibility of univariate BWAS are biased

G. Rousselet, C. Burns, A. Fracasso, 2023, bioRxiv.