Marisa Carrasco

This study investigates whether presaccadic attention improves peripheral spatial resolution and whether this effect varies with polar angle locations, finding that attention sharpens acuity uniformly across locations.

The paper shows that perceptual learning improves discrimination accuracy but distorts appearance estimates, suggesting learning enhances category distinctions.

The paper links individual differences in V1 cortical magnification to contrast sensitivity across visual field meridians using fMRI and psychophysics.

This study shows presaccadic attention improves contrast sensitivity at horizontal and lower vertical meridians but not upper vertical meridian, exacerbating performance asymmetries.

This study shows exogenous attention helps generalize perceptual learning in adults with amblyopia beyond trained locations.

The paper quantifies polar angle asymmetries in visual performance and shows that mRGC signals and phototransduction contribute to these differences, but cortical factors also play a role.

This study investigates how endogenous and exogenous attention differentially affect sensory tuning in orientation and spatial frequency tasks, finding similar gain changes but differing strength and SF shifts.

This study assesses the reproducibility of retinotopic maps across two fMRI datasets, finding consistent pRF properties despite differences in experimental protocols.

This study shows that rhythmic TMS can entrain alpha oscillations in occipital cortex, with entrainment strength correlated with individual alpha frequency.

The paper develops a computational model that differentiates the effects of endogenous and exogenous attention on visual perception, explaining three previously unexplained phenomena.

The paper measures cortical magnification in human visual cortex and finds it correlates with visual field task performance and heritability in twins.

This study shows that feature-based attention during visual perceptual learning enables long-lasting location transfer and maintains orientation specificity, lasting over a year.

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 shows that presaccadic attention modulates visual performance through response gain changes, differing from covert attention's normalization model.

This study compares how endogenous and exogenous attention affect visual cortex activity during an orientation discrimination task, finding distinct modulation patterns in different brain regions.

This study systematically examines contrast sensitivity asymmetries across visual field meridians under varying stimulus parameters and finds consistent patterns despite parameter changes.

The paper shows that eye movements are inhibited before predictable auditory targets, indicating a link between auditory expectation and oculomotor behavior.

This study shows that oculomotor freezing reflects tactile temporal expectation and improves tactile perception by reducing microsaccade interference.

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.

The paper investigates crowding effects across different visual dimensions and finds that crowding of orientation and spatial frequency is interdependent, while crowding of orientation and color is independent, suggesting a link to illusory conjunctions.

The paper develops a computational observer model to investigate how early visual system properties like optics and cone density contribute to polar angle-dependent visual performance differences, finding they cannot fully explain the observed asymmetries.

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.