Ru‐Yuan Zhang

Center-surround inhibition in expectation and its underlying computational and artificial neural network models

The paper shows that expectation leads to center-surround inhibition in orientation space, supported by computational models and neural network experiments.

Linguistic Context Shapes Representations in the Human Visual Cortex

The paper analyzes how linguistic context influences visual cortex representations using fMRI data from a caption-image matching task, identifying two distinct voxel populations with different response patterns.

Sequential Temporal Anticipation Characterized by Neural Power Modulation and in Recurrent Neural Networks

The paper investigates how the brain and recurrent neural networks anticipate sequential temporal moments by analyzing neural power modulation and its relationship with task performance.

Attention Improves Population Codes by Warping Neural Manifolds in Human Visual Cortex

This study shows that attention improves population codes in the human visual cortex primarily through tuning changes, not correlation changes.

A neural geometry theory comprehensively explains apparently conflicting models of visual perceptual learning

This paper introduces a neural geometry theory that explains visual perceptual learning by showing neural manifold shrinkage, rather than changes in tuning curves or noise correlations, is the primary mechanism.

Representational geometries reveal differential effects of response correlations on population codes in neurophysiology and functional magnetic resonance imaging

The paper investigates how response correlations affect population codes in neurophysiology and fMRI by analyzing Fisher information and principal components.

Mechanical vibration modulates regional cerebral blood flow and biomechanical co-variance network in a frequency-dependent manner

This study shows that brain blood flow and biomechanical network properties change in a frequency-dependent way when exposed to vibration.

Atypically larger variability of resource allocation accounts for visual working memory deficits in schizophrenia

This study shows that schizophrenia patients have larger variability in memory resource allocation, not reduced capacity, explaining their visual working memory deficits.

TDM: a temporal decomposition method for removing venous effects from task-based fMRI

This paper introduces TDM, a method to remove venous effects from task-based fMRI by decomposing responses into microvascular and macrovascular components, improving spatial accuracy.

Understanding multivariate brain activity: evaluating the effect of voxelwise noise correlations on population codes in functional magnetic resonance imaging

This study evaluates how voxelwise noise correlations affect multivariate pattern analysis in fMRI, showing that they can improve performance under certain conditions.

Flexible top-down modulation in human ventral temporal cortex

This study shows that top-down modulation in human ventral temporal cortex depends on both attention and other cognitive processes, with effects varying based on task and stimulus properties.

Hormone Levels Are Related to Altered Functional Connectivity in Prolactinomas

This study examines how hormone levels in prolactinoma patients affect brain functional connectivity, finding increased connectivity and sex-dependent hormone correlations.

Unexpected higher resilience to distraction during visual working memory in schizophrenia

This study examines visual working memory and distractibility in schizophrenia, finding that patients show unexpected higher resilience to distraction but worse overall performance.

Disentangling locus of perceptual learning in the visual hierarchy of motion processing

This study investigates where perceptual learning occurs in the visual hierarchy during motion processing by comparing learning transfer between different stimuli.

A critical assessment of data quality and venous effects in ultra-high-resolution fMRI

This study evaluates ultra-high-resolution fMRI's ability to capture fine-scale BOLD activity, identifies venous effects as a confounding factor, and provides practical recommendations for data interpretation.