Julie D. Golomb
Neuroscience · The Ohio State University
Publications
179
Citations
3,767
Est. group size
~12
Recurring co-author estimate
Active years
23
Publishing since 2004
Julie D. Golomb studies how the human brain represents visual information, focusing on visual attention, working memory, and object recognition. Her work combines behavioral experiments with neuroimaging methods like EEG to understand how attention and memory can distort or stabilize what we perceive, especially when visual scenes are cluttered with distracting or moving information.
Publication output has grown over the last decade, rising from roughly 10-13 papers per year around 2017-2020 to a peak of 22 in 2024, indicating an increasingly active research program.
Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026
- Learned Attentional Bias in Ensemble Perception
Open MIND · 2026
- The effect of internal attentional shifts on visual feature errors
Journal of Vision · 2025
- Visual working memory intrusions caused by salient onsets, with and without spatial distraction
Journal of Vision · 2025
- The role of feature distributions in visual stability - Experiment 3 (variance control)
Open MIND · 2025
- Effective distribution of VWM resources does not depend on VWM capacity.
Journal of Vision · 2024
- Dynamic neural reconstructions of attended object location and features using EEG
Journal of Neurophysiology · 2023
- The dominance of spatial information in object identity judgments: A persistent congruency bias even amidst conflicting statistical regularities.
Journal of Experimental Psychology Human Perception & Performance · 2023
- Items in visual working memory are more susceptible to visual interference while in-use.
2023
- Can items in visual working memory be shielded from visual interference while in use?
Journal of Vision · 2023
- Spatial distraction reverses category-tuned attentional filters by disrupting both facilitation and suppression
Journal of Vision · 2023
- Visual Distraction Disrupts Category-tuned Attentional Filters in Ventral Visual Cortex
Journal of Cognitive Neuroscience · 2022
- Visual distraction disrupts category-tuned attentional filters in ventral visual cortex
2022
- Dynamic neural reconstructions of attended object location and features using EEG
bioRxiv (Cold Spring Harbor Laboratory) · 2022
- An enhanced inverted encoding model for neural reconstructions of visual perception, attention, and memory
Journal of Vision · 2022
- Swapping and repulsion errors reveal independent temporal dynamics of attentional capture and disengagement
Journal of Vision · 2022
- Journal of Vision×68
- bioRxiv (Cold Spring Harbor Laboratory)×9
- Journal of Experimental Psychology Human Perception & Performance×6
- Attention Perception & Psychophysics×6
- Psychonomic Bulletin & Review×5
- Yong Min Choi
Neuroscience · The Ohio State University
- Anne B. Sereno
Neuroscience · Indiana University
- Jason M. Gold
Neuroscience · Indiana University
- Tzu-Yao Chiu
Neuroscience · The Ohio State University
- Alexander A. Petrov
Neuroscience · The Ohio State University
This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.
Last updated Jul 19, 2026.
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