Steven J. Luck

Cognitive Neuroscience · 1998–2020

A researcher in the Science corpus: 20 papers; trusts 22 researchers and is trusted by 54 researchers here, as inferred from the citation graph.

Subfields

• Cognitive Neuroscience — 79 citations into it; #567 of 10,852 by trust here, #948 by citations
• Cognitive Science & Psychology — 13 citations into it
• Neuroscience — 13 citations into it
• Signal Processing — 13 citations into it
• Statistics and Probability — 10 citations into it

Whom Steven J. Luck trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Eric Maris
2. Edward K. Vogel
3. Geoffrey F. Woodman
4. L.
5. Robert Oostenveld
6. Harold Pashler
7. Martin Eimer
8. Anne Treisman
9. Arnaud Delorme
10. Scott Makeig

Who trusts Steven J. Luck overall

1. Joseph A. Bulbulia
2. Javier Lopez-Calderon
3. Ariel Telpaz
4. Andreas Keil
5. Ning Wei
6. Clayton Hickey
7. Jonas K. Olofsson
8. Klaus Oberauer
9. Paul M. Bays
10. Nicholas Gaspelin

Papers from Steven J. Luck's perspective

Ordered by how strongly the researchers Steven J. Luck trusts endorse each paper. Same corpus, a different order for every researcher.

1. A feature-integration theory of attention.
2. Neural mechanisms of selective visual attention.
3. EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis. (Journal of Neuroscience Methods)
4. Removing electroencephalographic artifacts by blind source separation. (Psychophysiology)
5. Nonparametric statistical testing of EEG- and MEG-data. (Journal of Neuroscience Methods)
6. An integrative theory of prefrontal cortex function.
7. The psychophysics of visual search.
8. Fast and robust fixed-point algorithms for independent component analysis
9. HARKing: Hypothesizing After the Results are Known
10. Independent Component Analysis

Their papers

• Visual Working Memory Capacity: From Psychophysics and Neurobiology to Individual Differences (2013) — 994 citations
• ERP CORE: An Open Resource for Human Event-Related Potential Research (2020)
• How to Get Statistically Significant Effects in Any ERP Experiment (and Why You Shouldn’t) (2017) — 1,040 citations
• How Many Trials Does It Take to Get a Significant ERP Effect? It Depends (2017)
• ERPLAB: an open-source toolbox for the analysis of event-related potentials (2014) — 2,404 citations
• Committee report: publication guidelines and recommendations for studies using electroencephalography and magnetoencephalography. (2014) — 626 citations
• ERP Components: The Ups and Downs of Brainwave Recordings (2011) — 159 citations
• ERP Components and Selective Attention (2011) — 139 citations
• The Oxford handbook of event-related potential components (2011) — 534 citations
• Electrophysiological Correlates of the Focusing of Attention within Complex Visual Scenes: N2pc and Related ERP Components (2011) — 236 citations
• Discrete fixed-resolution representations in visual working memory (2008) — 1,585 citations
• Attention effects during visual short-term memory maintenance: Protection or prioritization? (2007) — 208 citations
• The Neural Site of Attention Matches the Spatial Scale of Perception (2006) — 139 citations
• An Introduction to the Event-Related Potential Technique (2005) — 1,905 citations
• Serial deployment of attention during visual search. (2003) — 526 citations
• Voluntary and automatic attentional control of visual working memory (2002) — 297 citations
• Storage of features, conjunctions and objects in visual working memory. (2001) — 1,214 citations
• Event-related potential studies of attention. (2000) — 1,178 citations
• The visual N1 component as an index of a discrimination process. (2000) — 1,116 citations
• Sensory gain control (amplification) as a mechanism of selective attention: electrophysiological and neuroimaging evidence. (1998)