Visual perception and processing mechanisms

This study shows that eye movements reduce reliance on visual working memory by enabling efficient visual resampling during tasks.

The paper investigates how high- and low-order feedback signals differ in their spatial, temporal properties, and functional roles in visual processing using fMRI and MEG.

The paper investigates semantic representations in body-selective brain regions by linking natural scene captions to neural responses, finding that implied body motion is the primary contributor.

This study evaluates two behavioral assays to detect binocular dysfunction in mice, finding that the Pole Descent Cliff Task is more sensitive than the Visual Cliff Assay for detecting stereoscopic deficits.

This study shows human gaze behavior encodes abstract categorical information, similar to findings in non-human primates, by analyzing eye movements during classification tasks.

This study uses a spiking neuron network model to show that normalization strength heterogeneity in the visual cortex correlates with inhibitory current and enhances information encoding.

This study identifies cellular and circuit mechanisms in mouse V1 that process binocular visual information, showing distinct roles for callosal projections and neuronal excitability.

The paper measures proactive and reactive attentional markers in an EEG-eyetracking task and shows they are independent processes, with gaze bias predicting behavior.

The paper investigates how individual alpha frequency relates to temporal integration windows in visual crowding and finds that faster alpha rhythms allow shorter integration times, which is modulated by spatial grouping.

The paper shows that remembering colors as part of real-world objects improves visual working memory performance and is associated with increased neural engagement and stability.

The paper shows that perceptual learning enhances functional connectivity between retinotopically tuned voxels in V1 and V4, correlating with improved behavioral performance in shape detection tasks.

This study compares neural processing of real and unreal optic flow in the human brain using fMRI, finding that MST responses are modulated by ecological structure rather than just 2D motion features.

The paper examines parallel morphological and functional development in the Xenopus retinotectal system by combining calcium imaging with structural imaging.

The paper examines kinematic fields in the visuo-hippocampal circuit by analyzing speed and acceleration tuning in mice, finding that 44.3% of neurons form kinematic receptive fields comparable to place cells and visual tuning.

The paper demonstrates how the visual system infers viewing geometry from optic flow and attributes image motion to self-motion or depth structure, showing perceptual biases and neural correlates in macaque area MT.

This study investigates how population activity in the frontal eye field (FEF) is integrated to generate saccadic eye movements using multi-site microstimulation in monkeys.

The paper identifies how value signals influence different neuron subtypes in the superior colliculus to modulate saccadic vigor during eye movements.

The paper maps cortical connections in galagos, showing V2 and V3 represent the contralateral visual hemifield, with V3 having a gap occupied by the dorsomedial area (DM), and DL-V4 as a major node linking dorsal and ventral visual streams.

This paper identifies a convergent coding scheme in the primary visual cortex that enables visual scene segmentation by creating an orthogonal representational geometry for object recognition.

The paper investigates whether object speed and distractor number affect attentional allocation during multiple object tracking and finds no effect on attentional enhancement despite performance declines.

The paper models rod-cone signal interactions in a visual circuit and finds that rod-cone interference reduces motion direction discriminability under mesopic lighting.

This study investigates how statistical image features contribute to natural scene and object recognition using psychophysical experiments and EEG decoding, finding that scenes are better recognized via these features than objects.

The paper shows that visual temporal integration depends on spatial and temporal contexts, and proposes a computational model explaining these interactions.

The paper investigates attractive and repulsive history effects in orientation perception using continuous and categorical responses, finding distinct effects based on response type and stimulus duration.

This study investigates how parvalbumin-expressing inhibitory interneurons in primate visual cortex control response gain and orientation-tuning across cortical layers.

This study examines the development of visual acuity and crowding in children, finding that foveal crowding develops more slowly than acuity and shows similar selectivity to peripheral crowding.

The paper investigates how early visual experience reshapes microcircuit connectivity in the mouse visual cortex during the critical period, identifying specific synaptic changes in inhibitory neurons that underlie plasticity.

The paper shows that humans use context-dependent active sensing strategies, like head and hand movements, to better discriminate visually ambiguous materials in virtual reality.

The paper develops a standardized behavioral protocol for head-fixed mice to perform a visual contrast detection task, showing improved speed, accuracy, and contrast sensitivity over time.

This paper introduces AIM Color Detection and Discrimination, a psychophysical tool for color vision assessment that uses adaptive stimuli and machine learning to classify and quantify color vision deficiency.