Visual perception and processing mechanisms

Feature-temporal predictions dynamically modulate performance, feature-based attentional capture, and motor response activity during visual search

The paper investigates how feature-temporal predictions influence visual search performance, attentional capture, and motor responses in dynamic environments.

The Spatial Frequency Representation Predicts Category Coding in the Inferior Temporal Cortex

The paper investigates SF coding in the IT cortex of macaque monkeys and finds that SF representation is distinct from category coding, with SF profiles predicting category selectivity at the population level.

Variation in the geometry of concept manifolds acrosshuman visual cortex

The paper examines how geometric properties of concept manifolds in human visual cortex and DNNs affect classification accuracy, finding differences in the key geometric factors driving performance.

Human visual grouping based on within- and cross-area temporal correlations

The paper investigates how human visual segmentation is influenced by within- and cross-area temporal correlations using a novel stimulus generation algorithm and a task-based experiment.

Dynamic estimation of the attentional field from visual cortical activity

This study uses fMRI to estimate the dynamic locus and spread of covert spatial attention by analyzing visuocortical activity in response to varying cue sizes.

Chromatic and Achromatic Contrast Sensitivity in the far Periphery

This study measures contrast sensitivity in the far periphery for achromatic and chromatic stimuli, revealing underestimation by current models and differences in sensitivity decay patterns.

Mechanisms of Neural Representation and Segregation of Multiple Spatially Separated Visual Stimuli

The paper investigates how neurons in the middle temporal cortex represent and segregate multiple spatially separated visual stimuli using an extended normalization model.

Visual performance fields in Saccadic Suppression of Image Displacement

This study investigates visual performance across different visual fields during saccades and fixation, finding better performance along the horizontal meridian but no significant difference between upper and lower visual fields.

Sequential sampling from memory underlies perceptual decisions unyoked from actions

The paper shows that humans delay perceptual decisions until relevant choices are presented, using a bounded diffusion model to explain decision-making based on stored sensory information.

Anatomical circuits for flexible spatial mapping by single neurons in posterior parietal cortex

The paper identifies anatomical circuits in primate lateral intraparietal area that enable flexible spatial mapping of sensory targets to motor responses.

Discovery and shaping of decision strategies using adversarial stimuli in rats

The paper uses probe stimuli to uncover and modify decision strategies in rats performing a visual decision task, revealing strategy variation and adaptability to stimulus changes.

Spatial layout of visual specialization is shaped by competing default mode and sensory networks

The paper introduces SCD to analyze spatial influences on cortical functional specialization, revealing a dominant gradient and competitive suppression from other brain regions.

Interpreting convolutional neural networks to study wide-field amacrine cell inhibition in the retina

This study uses convolutional neural networks to investigate wide-field inhibition in the marmoset retina, revealing hidden computational aspects of retinal processing through interpretable models.

Large-scale color biases in the retinotopic functional architecture are region specific and shared across human brains

The paper predicts color perception across human brains using spatial coding patterns, finding area-specific and shared retinotopic color biases.

Preparatory attentional templates in prefrontal and sensory cortex encode target-associated information

This study shows that target-associated information is represented in the brain's target template during the preparatory period, even in the absence of the actual target.

Representational Geometries Across Visual Working Memory Encoding and Maintenance

This study investigates how representational geometry of visual working memory changes between encoding and maintenance phases using human fMRI.

Inactivation of primate area V4 reveals inductive biases in visual learning.

The paper investigates how inactivating primate area V4 affects visual learning, finding that simpler perceptual readouts are favored over optimal information extraction.

Adaptation of Perceived Animacy from Biological Motion: Evidence for a "Life Motion Detector"

The paper investigates how the human brain perceives animacy from biological motion using visual adaptation, finding that motion signals, especially from feet, influence animacy perception across species.

The precision of attention controls attraction of population receptive fields

The paper shows that attentional precision affects how much population receptive fields are attracted to the attended location in visual space.

A transformation from vision to imagery in the human brain

The paper introduces an imagery transformation framework to compare visual and mental imagery brain activity, finding that imagery patterns are transformed versions of visual patterns with fewer active dimensions.

Neural mechanisms of object prioritization in vision

The paper uses EEG to show that visual attention is influenced by object boundaries, supporting object-based attentional prioritization.

Spatial Attention Weakly Modulates Visual Responses in the Lateral Geniculate Nucleus

The paper examines the effect of spatial attention on visual responses in the macaque lateral geniculate nucleus (LGN) and finds weak, inconsistent modulation of firing rates.

Visual Regularities Underlie Hierarchical Object Representations in the Human Brain and Self-supervised DNN

This study shows that both human brains and self-supervised DNNs use visual regularities to form hierarchical object representations.

The human brain mechanisms of afterimages: From networks to cortical layers

This study investigates the neural mechanisms of afterimages using fMRI, finding that they engage widespread brain activity and specific cortical layers, challenging previous views on their origins.

Bayesian estimation yields anti-Weber variability

The paper examines Bayesian observer variability in a numerosity-estimation task and finds anti-Weber behavior, similar to human subjects, suggesting variability is influenced by prior distribution skewness.

Spatial frequency adaptation modulates population receptive field sizes

The paper investigates how spatial frequency adaptation affects population receptive field sizes in the visual cortex using fMRI and psychophysical methods, finding that adaptation to low/high SF reduces/increases pRF sizes.

Perceptual Support for Temporal Normalization Across Hundreds of Milliseconds

The paper tests a perceptual prediction of temporal normalization by showing contrast-dependent suppression between sequential stimuli across hundreds of milliseconds.

Attention reshapes the representational geometry of a perceptual feature space

The paper investigates how attention alters the representational geometry of perceptual spaces by measuring changes in perceived similarity of orientations under attended and unattended conditions.

Frequency-dependent modulation of foveal contrast sensitivity by fine-scale exogenously triggered attention

This study investigates how exogenous attention modulates contrast sensitivity at different spatial frequencies within the foveola, finding selective enhancement for low-to-mid-range frequencies.

Hidden Markov Models Reveal Behavioral State Dynamics in Depth-Related Locomotion in Mice

This paper uses Hidden Markov Models to analyze mouse behavior in response to visual depth cues, revealing three behavioral states and insights into depth perception mechanisms.