Visual perception and processing mechanisms

Distinct gradients of cortical architecture capture visual representations and behavior across the lifespan

The paper shows two architectural gradients in human visual cortex that correlate with structural, functional, and behavioral traits across the lifespan.

Macaque Area LIP Reflects Confidence-Dependent Changes in Decision Policy

This study shows that neural activity in macaque lateral intraparietal area (LIP) reflects confidence-dependent changes in decision policy, linking confidence to subsequent decision-making.

Revealing the benefit of eye motion for acuity under emulated cone loss

The paper shows that eye motion compensates for cone loss in vision, maintaining acuity even with significant cone cell reduction.

Area MT carries acceleration information in a quickly and directly decodable representation

The paper shows that acceleration information can be directly decoded from MT neuron activity faster and more accurately than through velocity changes, while MST does not refine this representation.

Species-specific oculomotor control tolerances explain saccadic suppression strength differences between macaques and zebrafish

The paper compares saccadic suppression strength between macaques and zebrafish, showing it reflects differences in sensory and motor noise levels and computational resource allocation.

Dynamics of individual visual biases in space and time

The paper investigates spatial and temporal dynamics of visual biases in structure-from-motion stimuli, finding that variations are autocorrelated and not random.

Foveated metamers of the early visual system

This paper investigates how visual feature representation changes with eccentricity by comparing human perception and models of luminance and spectral energy.

Direct encoding of new visual concepts in early visual cortex

This study shows that concept learning can rapidly alter early visual cortex responses and microstructure, independent of prior knowledge or hippocampal reactivation.

Deep-learning-based fMRI decoding of real-world size for hand-held objects

This study uses a 3D deep neural network to decode real-world object size from fMRI data, revealing a distributed neural network for subtle size differences beyond traditional visual areas.

Anticipated Relevance Prepares Visual Processing for Efficient Memory-Guided Selection

The paper shows that anticipating stimulus relevance enhances visual processing to support memory-guided selection.

The Role of Retinal Flow in Walking

This study investigates how retinal flow affects walking trajectories in virtual reality, finding that ground-plane motion has a greater impact on path straightening than wall motion.

Electrical stimulation of the human pulvinar generates visual percepts

This study shows that electrical stimulation of the human pulvinar can generate visual percepts and alter cortical activity in patients with epilepsy.

Mapping Visual Contrast Sensitivity and Vision Loss Across the Visual Field with Model-Based fMRI

This paper develops an fMRI method to measure contrast sensitivity across the visual field without requiring precise fixation, showing reliable patterns and tolerance to eye movement.

Retro-cue alerting effects on conscious perception across different levels of target visibility

This study investigates how retro-cue alerting affects conscious perception at different target visibility levels, finding that retro-cues enhance perception more when targets are more visible.

Color discrimination in action: High-throughput measurement in immersive VR

This study shows that immersive VR can efficiently measure color discrimination with high throughput and reliable results, replicating known color discrimination asymmetries.

Functional organization and natural scene responses across mouse visual cortical areas revealed with encoding manifolds

The paper uses encoding manifolds to analyze how mouse visual cortical areas represent natural scenes and static gratings, revealing layer-specific and cell-type-specific response patterns.

Cortical Origins of the Flash-Lag Effect distortions: The Influence of Retinotopic Map Architecture

The paper investigates how retinotopic map architecture influences the flash-lag effect, showing that FLE distortions depend on motion direction and retinotopic features like meridians and the fovea.

Animate-inanimate object categorization from minimal visual information in the human brain, human behavior, and deep neural networks

The paper shows that animacy categorization persists in humans and DNNs even with severely impoverished visual stimuli, indicating early and robust neural representation of animacy.

Temporal prediction captures retinal spiking responses across animal species

This study develops a spiking retinal model trained to predict future visual stimuli, showing it captures retinal responses and processes across species.

The role of extra-striate areas in conscious motor behavior: a registered report with Fast-Optical Imaging

This study investigates the neural dynamics of conscious vision by manipulating awareness and motor responses using EROS, aiming to isolate brain activity related to consciousness from response mechanisms.

Neural Sharpening of Object Categories Through Parafoveal Priming

This study shows that parafoveal priming reduces neural response and enhances object category decoding, suggesting neural sharpening during visual exploration.

Model-based separation of visual and oculomotor signals in marmoset lateral intraparietal area

The paper uses a GLM to separate visual and oculomotor signals in marmoset LIP during rapid saccadic tasks, revealing distinct sensory and motor encoding.

Binocular combination in the autonomic nervous system

The paper investigates binocular combination in the autonomic nervous system using a novel multiprimary system, finding pathway-specific differences in binocular interactions and harmonic components.

Task-dependent pupillary responses to glossiness and attractiveness judgments

This study examines how task-dependent pupillary responses differ between glossiness and attractiveness judgments of the same images, revealing distinct temporal profiles of sensory and affective processing.

Shared texture-like representations, not global form, underlie deep neural network alignment with human visual processing

The paper shows that deep neural networks align more closely with human brain responses to texture-synthesized images than to natural or object-only images, suggesting shared texture statistics rather than object recognition drive this alignment.

Subspace reverse-correlation estimation of receptive fields during free viewing

This paper introduces a method to estimate receptive fields during free viewing by modeling eye position effects as phase shifts using Hartley basis functions, improving sharpness by 56% in mouse V1 recordings.

What one sees depends on how far the eye has moved

The paper shows that saccade amplitude filters visual information by spatial frequency, affecting post-saccadic visual sensitivity.

Noisy models of the ventral stream reveal the impact of recurrence and learned representations on information processing timescales

The paper investigates how network architecture influences representation timescales in a noisy, recurrent model of the ventral visual stream, showing that timescales are set by architecture rather than training.

Pre-stimulus pupil-linked arousal enhances initial stimulus availability and accelerates decay in iconic memory.

The paper shows that pre-stimulus pupil dilation, reflecting arousal, increases initial stimulus availability in iconic memory but accelerates its decay, without affecting memory transfer or confidence.

Perceiving animacy in 'identical' images

The paper demonstrates that the visual system represents animacy independently of lower-level visual features using controlled experiments with orientation-sensitive images.