Jacqueline M. Fulvio

Prioritization in working memory reduces interference via beta band-linked stimulus transformations

This paper shows that prioritization in working memory reduces interference by transforming the unprioritized item into an 'unprioritized' state, linked to low-beta frequency oscillations.

Effects of TMS on the decoding and electrophysiology of priority in working memory

This paper investigates how transcranial magnetic stimulation affects neural representations of unprioritized memory items in working memory using EEG and multivariate pattern analysis.

Temporal dynamics and representational consequences of the control of processing conflict between visual working memory and visual perception

The paper investigates neural mechanisms of cognitive control during conflict between visual working memory and perception using EEG and reinforcement-learning models.

Representing context and priority in working memory

This study uses RNNs to simulate WM prioritization, showing context and priority are encoded via distinct mechanisms in neural representations.

Task feedback suggests a post-perceptual component to serial dependence

The paper shows serial dependence in 3D motion perception is influenced by sensory uncertainty and can be reduced by performance feedback, suggesting a post-perceptual mechanism.

Strategic control of location and ordinal context in visual working memory

The paper investigates how the parietal cortex strategically controls context binding in visual working memory through fMRI experiments and multivariate decoding.

Variation in visual sensitivity predicts motion sickness in virtual reality

The paper finds that individual sensitivity to visual cues predicts motion sickness severity in virtual reality, but not sex differences.

The Role of Location-Context Binding in Nonspatial Visual Working Memory

The paper investigates how context binding affects nonspatial visual working memory by analyzing fMRI signals and behavioral performance during memory tasks.

Systematic misperceptions of 3D motion explained by Bayesian inference

The paper develops a Bayesian model to explain systematic perceptual errors in 3D motion perception and validates it with VR and 3D display experiments.