Visual perception and processing mechanisms

The paper shows that some head-fixed mice use active sensing by wiggling a wheel to improve low-contrast visual task performance.

This study shows that visual discrimination learning increases response selectivity in both primary visual and parietal cortex, but with distinct patterns of feature preference changes between the two areas.

The paper identifies new visual illusions where hand movements near a random noise display create the perception of interactive control over the display, suggesting involvement of action capture mechanisms.

This paper shows that tiny neural networks can accurately replicate human gloss perception judgments better than larger networks estimating physical reflectance.

This study shows binocular vision develops through coordinated changes in orbital orientation, retinal structure, and neural projections in Octodon degus.

This study investigates how the koniocellular visual pathway contributes to aversive learning by comparing ssVEP responses to threat and safety cues using tritan and luminance stimuli.

This study examines how brain states affect visual perception, finding rapid transitions between states and reduced high-frequency activity during inattention without impairing sensory discrimination.

The paper shows that visual working memory uses different cortical representations, including categorical, semantic, and spatial formats, across multiple brain regions.

The paper examines how single-stimulus exposure affects perceptual learning through two experiments testing retrospective revaluation and restoration in perceptual effectiveness.

This study compares spatial representations in visual working memory (VWM) and perception, finding that VWM recruits ipsilateral visual cortex regions, unlike perception which relies on contralateral regions.

The paper shows how houseflies maintain visual accuracy during fast motion by using synaptic high-frequency jumping, which enhances visual bandwidth and reduces delays.

The paper examines how architectural properties of early visual cortex, particularly visual field inhomogeneities, predict individual differences in visual working memory performance.

This study investigates how visual uncertainty in predicted moving trajectories affects causality judgments in launching displays, finding that higher uncertainty increases perceived causality.

The paper shows contrast and pattern adaptation in visual cortex share a common gain control mechanism by analyzing population response distributions.

This paper introduces a population vector model of visual working memory designed for real-world scenes, showing it can predict behavior and brain activity in memory tasks.

The paper shows that early V1 neural signals encode bottom-up saliency based on feature conjunction, with latency and amplitude predicting behavioral performance.

The paper investigates how system-level computations like gain, noise, and nonlinearity vary with eccentricity and polar angle in human visual perception, revealing distinct mechanisms underlying perceptual differences.

The paper investigates body movement perception, showing it is influenced by both generic and actor-specific biomechanical models rather than just self-body models.

This paper proposes a recurrent neural network architecture that learns to trace curves and objects using multiscale, incremental grouping, showing generalization from short to longer curves and 2D-objects.

The paper investigates the visual system of black grouse to understand their ability to detect aerial objects and inform collision mitigation strategies.

This study investigates how contour motion in dynamic line drawings conveys mechanical material properties, showing that line drawings convey similar material information as fully textured stimuli.

The paper shows that gamma synchrony in the visual cortex depends on stimulus features and distance, aligning with weakly coupled oscillator theory and predicting human performance in texture segregation tasks.

The paper investigates how contextual associations shape neural representations of objects in visual cortex, showing that contextual relations emerge late and are encoded in specific brain regions.

The paper investigates how bottom-up saliency and top-down goals compete in early visual cortex using EEG and RIFT, showing dynamic suppression of distractors over time.

The paper shows that human ventral temporal cortex neurons use a distributed axis code for object perception and that imagery reactivates this code in single neurons.

The paper measures neural responses to binocular stimuli with different phase relationships and models them using binocular combination algorithms.

The paper develops a spatial contrast model to capture nonlinear spatial integration in primate retinal ganglion cells using natural and artificial stimuli, showing improved performance over linear models.

This study analyzes eye movement and pupil size in natural indoor and outdoor scenes, finding increased saccade metrics and pupil size in indoor environments initially, and different correlations between indoor and outdoor conditions.

The paper shows that locomotion modulates sensory neuron tuning in the mouse visual cortex, enabling multiplexed representation of sensory and movement signals.

This study investigates how bias, sensitivity, and similarity between letters affect letter identification, finding that bias is the main factor influencing response patterns.