Thomas C. Sprague

The paper investigates how neural priority maps encode behavioral relevance across multiple attended visual locations using fMRI and finds that relevance modulations are equivalent regardless of the number of attended stimuli.

The paper identifies a neural mechanism for resource allocation in working memory by showing how frontal cortex feedback modulates visual cortex activity based on item priority.

This study uses transcranial magnetic stimulation to test how prefrontal cortex perturbations affect working memory resource allocation, finding that disrupting control processes improves memory for low-priority items.

The paper shows that attention modulates neural feature dimension maps in visual cortex, enhancing stimulus representations in feature-selective regions based on task demands.

The paper tests if feature-selective regions in human cortex act as neural maps for salience based on visual features like color or motion, using fMRI data.

The paper shows that prioritizing visual working memory items increases neural population gain in early visual cortex, improving memory precision for high-priority items.

The paper investigates how spatial working memory representations in human cortex are affected by a task-irrelevant interrupting stimulus, finding no significant impairment in neural representations or behavioral performance.

This study shows that the brain represents visual working memory content and uncertainty as probabilistic distributions in retinotopic and mid-dorsal stream cortical areas using fMRI data.

This study examines how distraction affects working memory representations in visual cortex using fMRI, finding that distraction temporarily reduces representation fidelity but does not cause catastrophic loss.

This paper reviews two major research arcs on working memory, focusing on persistent neural activity and computational decoding approaches.

This study compares the neural representations of working memory and long-term memory in occipital and parietal cortex using fMRI and multivariate pattern analysis, finding shared and distinct coding formats.

The paper investigates how category learning influences perceptual processing in human occipitoparietal cortex using inverted encoding models and behavioral experiments.

The paper shows that high-reward distractors enhance their neural representations in early visual cortex when previously selected as targets, suggesting value-driven attentional capture starts with sensory modulation.

The paper discusses the validity of inverted encoding models (IEM) in neural data analysis, arguing that results are not arbitrary when models are clearly specified.

This study compares fMRI and EEG measures of attentional modulations in human visual cortex and finds they reflect different physiological mechanisms.

The paper investigates how visual salience and behavioral relevance independently influence attentional priority maps in human cortex using fMRI data.

The paper investigates how attentional modulations of single receptive fields affect population-level spatial representations in visual cortex, finding that position shifts of receptive fields enhance discriminability and fidelity.