Visual perception and processing mechanisms

This study shows that the magnitude and timing of pre-saccadic foveal prediction depend on the visibility of the saccade target, with higher signal-to-noise ratios enhancing congruency effects.

This study investigates how continuous flash suppression affects V1 neuron orientation responses in macaques, finding substantial suppression and implications for high-level visual processing.

The paper compares human behavior, fMRI data, and DNN activations to show that the human brain represents locomotive action affordances independently of other visual features, and that standard DNNs do not capture this representation well.

The paper investigates whether reappearing sensory input can guide the prioritization of non-reappearing items in visual working memory, finding that matching location and orientation enhances prioritization.

The paper shows that heading estimation biases from optic flow depend on response range size and introduces a Bayesian model to explain these biases.

The paper investigates perceptual switches in a no-report binocular rivalry paradigm and finds that saccades, not fixation shifts, are the primary driver of perceptual changes.

The paper evaluates the repeatability and behavioral relationships of vision tests using AIM and FInD paradigms on a tablet-based tool, finding bias-free results for most tests and clustering of CSF, form, and motion outcomes.

This paper introduces a neural network model of visual search that generates human-like scanpaths and replicates neural signatures of the fronto-parietal network during goal-directed visual exploration.

The paper identifies two new body-selective brain regions in humans that respond to images of bodies not at the center of gaze.

The paper analyzes MEG data to compare neural dynamics of false and veridical perception, finding shared and distinct patterns in sensory and confidence signals.

The paper develops a model showing that choice and confidence reports share a single evidence accumulation process with separate boundaries.

This study uses fMRI to examine motion processing in maculopathy patients and finds no significant large-scale cortical reorganization in motion-selective networks compared to controls.

The paper shows that larger pre-stimulus pupil size improves near-threshold detection performance regardless of stimulus color, eccentricity, or retinal adaptation state.

The paper shows that parietal action systems modulate ventral stream processing of manipulable objects via structural connectivity, using lesion and diffusion MRI data.

This study investigates redundancy masking in visual perception using SSVEP, finding that masked items are not fully suppressed but integrated with neighboring elements in neural signals.

The paper uses MEG to study how color representations evolve over time in the brain, finding a 'coarse to fine' dynamic in cortical responses.

This paper connects sparse coding, predictive coding, and divisive normalization within a unified learning framework to explain neural response nonlinearities and brain computations.

The paper investigates how microsaccades influence visual processing by delaying attention engagement until the first microsaccade toward a target stimulus, enhancing neuronal responses and decoding accuracy.

The paper investigates how task-irrelevant variability in visual features affects generalization in perceptual learning, finding that spatial phase variability leads to complete generalization while contrast variability does not.

The paper shows that saccades and fixations are coordinated with the cardiac cycle, with saccades occurring during systole and fixations during diastole.

This paper establishes a two-dimensional perisaccadic visual mislocalization paradigm in rhesus macaques, showing similar mislocalization patterns to humans.

The paper shows that GABAergic signaling from VIP interneurons is essential for visual recovery after monocular deprivation in adult mice, while peptidergic signaling is not.

The paper develops a Bayesian method to estimate perceptual biases in animals during task performance and adjusts rewards based on these estimates to minimize bias distortion.

The paper proposes a circuit model explaining transsaccadic space updating and mislocalization through population activity shifts and corollary discharge mechanisms.

This study investigates how intention modulates awareness of microsaccades by comparing intended, unintended, and spontaneous eye movements and their visual consequences.

This paper trains CNNs to segment human visual cortex areas with accuracy comparable to human raters using functional and anatomical data.

This study examines how early visual deprivation affects the excitatory/inhibitory ratio in the visual cortex of humans using MRS and EEG, finding altered E/I ratios and associations with visual acuity.

The paper shows that network activity, not individual neuron sensitivity, determines the impact of cortical ensembles on stimulus detection in mice.

The paper uses high-density Neuropixels recordings and machine learning to identify cell classes in monkey V1 and demonstrate structural-function relationships in the microcircuit.

The paper investigates how symmetry type and texture regularity affect visual search efficiency using a lattice-based paradigm.