Rachel N. Denison

This study decodes uncertainty about stimulus features from human EEG data using probabilistic methods, showing time-resolved estimates of stimulus information but no correlation with subjective uncertainty reports.

This study shows that voluntary temporal attention improves perception by enhancing processing before competition, not by resolving competing representations.

This study investigates how temporal attention affects neural communication by routing stimulus information through specific cortical pathways using MEG.

This study investigates whether auditory temporal attention operates under the same constraints as visual attention, finding that auditory attention improves discrimination without tradeoffs.

The paper tests a perceptual prediction of temporal normalization by showing contrast-dependent suppression between sequential stimuli across hundreds of milliseconds.

The paper investigates how attention alters the representational geometry of perceptual spaces by measuring changes in perceived similarity of orientations under attended and unattended conditions.

This paper introduces a dynamic spatiotemporal normalization model that captures bidirectional temporal suppression and neural response properties in perception.

The paper tests subjective inflation under inattention, finding robust inflation at and above visual thresholds but not for specific features at suprathreshold levels.

The paper investigates how voluntary temporal attention enhances visual stimulus representation in fronto-cingulate cortex at an intermediate processing stage, rather than in visual cortex.

This study investigates how voluntary temporal attention modulates visual cortical responses using SSVER and MEG, finding both pre-target and post-target mechanisms.

The paper develops a dynamic normalization model of visual temporal attention and shows that voluntary attention improves perceptual sensitivity only within a specific time interval range.

The paper compares susceptibility to auditory informational masking and visual crowding in the same participants, finding a negative correlation between the two.

This paper develops and evaluates a GLM pipeline to estimate pupillary responses to rapid sequential events, finding that individualized models and non-zero latencies improve accuracy.

This study shows that directing voluntary temporal attention changes microsaccade patterns to stabilize fixation at relevant moments, improving visual perception.

This study shows humans adjust perceptual decisions and confidence based on attention-dependent uncertainty, using a Bayesian framework.

The paper reviews suboptimal perceptual decisions and argues that optimality claims are meaningless without knowing likelihood functions, priors, and cost functions, proposing an LPCD approach instead.