Devarajan Sridharan

This study demonstrates that spatial selection by probabilistic cueing is governed by attentional mechanisms, not expectation, using neural and behavioral analyses.

The paper investigates the attentional blink by separating its subcomponents and identifies distinct neural correlates for detection and discrimination deficits.

The paper investigates presaccadic benefits in visual change detection and finds no increase in perceptual sensitivity, but a spatial choice bias that complicates change detection.

The paper investigates how perceptual distractors during the delay period of visual working memory (WM) induce space-specific biases, using EEG decoding and a ring-attractor model.

The paper develops a neurally constrained Bayesian model to explain differences in change detection success during a change blindness task by analyzing gaze metrics.

This study investigates how exogenous attention affects perceptual sensitivity and decisional bias in a multitask paradigm, revealing distinct spatial patterns and dissociable mechanisms.

This study dissociates the sensory and decisional components of endogenous attention using a Bayesian decision model in a visuospatial attention task.

The paper uses Granger-Geweke causality on fMRI data to classify cognitive states and find that both instantaneous and lag-based methods reveal distinct functional networks.