Diane M Beck

About

Professor and Interim Head of the Department of Psychology at the University of Illinois, Diane M. Beck, PhD, is a principal investigator at the Attention and Perception Lab within the Beckman Institute. Her research focuses on attention and perception, contributing to the understanding of cognitive processes related to visual attention and perceptual mechanisms. She collaborates with a network of researchers and has a history of mentoring graduate students and postdoctoral scholars, advancing the field through her leadership and scholarly work.

Research topics

• Computer Science
• Artificial Intelligence
• Mathematics
• Physics
• Cognitive psychology
• Nuclear physics
• Psychology
• Natural Language Processing
• Algorithm
• Materials science

Selected publications

• The N300: An Index for Predictive Coding of Complex Visual Objects and Scenes

  Cerebral Cortex Communications · 2021 · 45 citations

  Senior authorCorresponding

  Predictive coding models can simulate known perceptual or neuronal phenomena, but there have been fewer attempts to identify a reliable neural signature of predictive coding for complex stimuli. In a pair of studies, we test whether the N300 component of the event-related potential, occurring 250-350-ms poststimulus-onset, has the response properties expected for such a signature of perceptual hypothesis testing at the level of whole objects and scenes. We show that N300 amplitudes are smaller t…

  DOI

• Separation of item and context in item-method directed forgetting

  NeuroImage · 2021 · 24 citations

  Contextual information plays a critical role in directed forgetting (DF) of lists of items, whereas DF of individual items has been primarily associated with item-level processing. This study was designed to investigate whether context processing also contributes to the forgetting of individual items. Participants first viewed a series of words, with task-irrelevant scene images (used as “context tags”) interspersed between them. Later, these words reappeared without the scenes and were followed…

  DOI

• The Influence of Prestimulus 1/f-Like versus Alpha-Band Activity on Subjective Awareness of Auditory and Visual Stimuli

  Journal of Neuroscience · 2023-08-17 · 19 citations

  articleOpen accessSenior author

  Alpha rhythmic activity is often suggested to exert an inhibitory influence on information processing. However, relatively little is known about how reported alpha-related effects are influenced by a potential confounding element of the neural signal, power-law scaling. In the current study, we systematically examine the effect of accounting for 1/f activity on the relation between prestimulus alpha power and human behavior during both auditory and visual detection ( N = 27; 19 female, 6 male, 2…

  PublisherOA PDFDOI

• Measurements of electron transport in liquid and gas Xenon using a laser-driven photocathode

  Nuclear Instruments and Methods in Physics Research Section A Accelerators Spectrometers Detectors and Associated Equipment · 2020 · 16 citations

  DOI

• Is attention necessary for the representational advantage of good exemplars over bad exemplars?

  European Journal of Neuroscience · 2024-02-25 · 12 citations

  articleOpen accessSenior author

  Real-world (rw-) statistical regularities, or expectations about the visual world learned over a lifetime, have been found to be associated with scene perception efficiency. For example, good (i.e., highly representative) exemplars of basic scene categories, one example of an rw-statistical regularity, are detected more readily than bad exemplars of the category. Similarly, good exemplars achieve higher multivariate pattern analysis (MVPA) classification accuracy than bad exemplars in scene-resp…

  PublisherOA PDFDOI

Recent grants

• NIH Grant R03MH082012

  NIH · $145k · 2009

• NIH Grant R01EY022605

  NIH · $1.3M · 2018

• A Program of Medium Energy Nuclear Physics

  NSF · $7.2M · 2015–2019

Frequent coauthors

• Li Fei-Fei

  53 shared

• W. Turchinetz

  Massachusetts Institute of Technology

  36 shared

• K. Stephenson

  Schlumberger (United States)

  36 shared

• R. Redwine

  36 shared

• E.J. Stephenson

  Indiana University Bloomington

  36 shared

• S. Kowalski

  36 shared

• R. Goloskie

  Princeton University

  36 shared

• S. Gilad

  Massachusetts Institute of Technology

  36 shared

Similar researchers at University of Illinois Urbana-Champaign

• Monica Fabianih-70
• Florin Dolcosh-58
• Kara D Federmeierh-58