Resume-aware faculty matching

Find professors who actually fit you

Review faculty evidence in public, then use the workspace to turn your background into a shortlist, outreach, and meeting prep.

Profile-awarePaper evidenceSix agents
Steven J. Luck

Steven J. Luck

· Distinguished Professor

University of California, Davis · Neurology

Active 1989–2026

h-index104
Citations49.9k
Papers37190 last 5y
Funding$24.6M3 active

Academic metrics are sourced from OpenAlex and public funding records; values may differ from Google Scholar.

See your match with Steven J. Luck — sign in to PhdFit.Sign in

About

Steven J. Luck is the principal investigator of a cognitive neuroscience laboratory at the UC Davis Center for Mind & Brain. His lab, known as the Laboratory for Basic and Translational Cognitive Neuroscience, investigates how the mind operates, how it is implemented in the brain's hardware, and how cognitive processes can go awry in individuals with schizophrenia. The research primarily focuses on the visual system, which serves as a foundation for exploring complex cognitive concepts. The lab's work integrates basic and translational approaches to understand attention, visual working memory, and related cognitive functions, with a particular interest in the neural mechanisms underlying these processes and their dysfunction in psychiatric disorders such as schizophrenia.

Research topics

  • Computer Science
  • Psychology
  • Artificial Intelligence
  • Data Mining
  • Engineering
  • Natural Language Processing
  • Cognitive psychology
  • Neuroscience
  • Systems engineering
  • Linguistics

Selected publications

  • Progress toward resolving the attentional capture debate

    Visual Cognition · 2020 · 396 citations

    1st authorCorresponding

    For over 25 years, researchers have debated whether physically salient stimuli capture attention in an automatic manner, independent of the observer's goals, or whether the capture of attention depends on the match between a stimulus and the observer's task set. Recent evidence suggests an intermediate position in which salient stimuli automatically produce a priority signal, but the capture of attention can be prevented via an inhibitory mechanism that suppresses the salient stimulus. Here, pro…

  • ERP CORE: An open resource for human event-related potential research

    NeuroImage · 2020 · 224 citations

    Senior authorCorresponding

    Event-related potentials (ERPs) are noninvasive measures of human brain activity that index a range of sensory, cognitive, affective, and motor processes. Despite their broad application across basic and clinical research, there is little standardization of ERP paradigms and analysis protocols across studies. To address this, we created ERP CORE (Compendium of Open Resources and Experiments), a set of optimized paradigms, experiment control scripts, data processing pipelines, and sample data (N…

  • Standardized measurement error: A universal metric of data quality for averaged event‐related potentials

    Psychophysiology · 2021 · 193 citations

    1st authorCorresponding

    Event-related potentials (ERPs) can be very noisy, and yet, there is no widely accepted metric of ERP data quality. Here, we propose a universal measure of data quality for ERP research-the standardized measurement error (SME)-which is a special case of the standard error of measurement. Whereas some existing metrics provide a generic quantification of the noise level, the SME quantifies the data quality (precision) for the specific amplitude or latency value being measured in a given study (e.g…

  • Ten simple rules to study distractor suppression

    Progress in Neurobiology · 2022 · 99 citations

    Distractor suppression refers to the ability to filter out distracting and task-irrelevant information. Distractor suppression is essential for survival and considered a key aspect of selective attention. Despite the recent and rapidly evolving literature on distractor suppression, we still know little about how the brain suppresses distracting information. What limits progress is that we lack mutually agreed upon principles of how to study the neural basis of distractor suppression and its mani…

  • One hundred years of EEG for brain and behaviour research

    Nature Human Behaviour · 2024-08-22 · 48 citations

    articleOpen access

Recent grants

Frequent coauthors

  • Steven A. Hillyard

    University of California, San Diego

    94 shared
  • James M. Gold

    88 shared
  • George R. Mangun

    University of California, Davis

    82 shared
  • H.–J. Heinze

    University Hospital Magdeburg

    79 shared
  • Robert D. Melara

    City College of New York

    65 shared
  • J. R. W. Mounts

    SUNY Geneseo

    65 shared
  • T.F. Muente

    University of Lübeck

    65 shared
  • A Goes

    University of California, San Diego

    65 shared

Labs

Education

  • Ph.D., Neurosciences

    UCSD

    1993
  • B.A., Psychology

    Reed College

    1986

Awards & honors

  • Troland Award in Experimental Psychology from the National A…
  • APA Distinguished Scientific Award for Early Career Contribu…
  • American Psychological Foundation F. J. McGuigan Young Inves…
  • James McKeen Cattell Sabbatical Award (2004)
  • Elected fellow of the Society of Experimental Psychologists

Similar researchers at University of California, Davis

  • Resume-aware match score
  • Save to shortlist
  • AI-drafted outreach

See your match with Steven J. Luck

PhdFit ranks faculty by your research interests, methods, and publications — grounded in their actual work, not templates.

  • Free to start
  • No credit card
  • 30-second signup