Visual perception and processing mechanisms

The paper investigates whether the size of visual field maps in the brain correlates with working memory precision and finds a positive association.

This study investigates how humans perceive object elasticity using visual cues and proposes a resource-rational model based on motion statistics.

The paper investigates how saccades affect semantic category processing in naturalistic scenes, finding reduced accuracy and neural representation degradation shortly after saccades.

This study shows that visual rehabilitation improves motion discrimination and Gabor detection in occipital stroke patients, with neural correlates in hMT+ and prefrontal regions.

The paper investigates how population coding in the brain supports depth perception under ambiguous binocular inputs, finding that representations in V3A align with human perception better than correlation-based models.

This study compares how humans and neural networks use shape and texture cues for object recognition, finding that humans rely more on shape while networks are biased towards texture, with 3D cues affecting them differently.

This paper develops a hierarchical recurrent temporal prediction model to explain neuronal response properties in the visual cortex by incorporating local and inter-areal feedback connectivity.

The paper shows that visual and motor maps in frontal cortex form mosaic patterns that enable flexible visuomotor transformations.

The paper examines how receptive-field sizes change during remapping and shows they remain stable despite varying input sizes, supporting a mechanism for uniform visual updating.

This paper incorporates inhibition into deep neural networks for neural prediction, showing it improves surround suppression learning but not cross-orientation inhibition.

The paper shows that visual-field position shapes input sampling and output routing in the mouse superior colliculus through specialized circuit modules.

The paper investigates how visuospatial working memory representations are organized in the human brain, finding both abstract and concrete visual representations coexisting in visual areas.

The paper identifies a shared population code in mouse visual cortex that encodes sensory reliability through coordinated changes in response gain, selectivity, and variability across areas.

The paper introduces updated group-constrained parcels for scene-selective cortex that improve coverage and reproducibility across adult and pediatric fMRI datasets.

This study examines how macaque lateral intraparietal area (LIP) neurons represent voluntary saccades and reflexive OKN fast phases, finding distinct neural activity patterns for these movements.

The paper identifies a common temporal motif in neural dynamics across the ventral visual stream and shows that current models fail to replicate these dynamics.

This study identifies neural population dynamics in macaques during goal-directed visual attention, showing how attention and category are represented across cortical networks.

This study simulates visual deficits in healthy adults to determine if incomplete letter recognition issues in dementia patients are due to cortical or optical factors, finding cortical factors are more significant.

The paper investigates how neurons in the frontal eye field encode priors for visual stability judgments, finding that they support flexible categorization rather than Bayesian inference.

The paper shows that task-irrelevant natural scenes induce visual perceptual learning through unsupervised learning, which is not suppressed by attention, unlike artificial stimuli.

The paper identifies structurally similar neuron clusters in mouse visual cortex using the MICrONS dataset, revealing mesoscale organizational principles and linking them to perceptual models.

This study develops a growth model of the macaque visual cortex to show how geometric constraints shape higher-order retinotopic maps without explicit topographic specifications.

The paper validates a diffusion-based method called BrainDiVE for generating stimuli that activate specific brain regions, showing enhanced category selectivity and revealing functional gradients in visual cortex.

The paper trains texture discrimination and segmentation models using spatial proximity as a proxy for same-different ground truth, achieving accurate results without feedback.

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.

The paper shows that synergistic coding across visual areas in the primate ventral stream occurs before serial coding, with V1-IT synergy being stronger at higher-level targets.