Xingyu Liu

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.

Thalamocortical architecture shapes structural and functional plasticity after early sensory loss

This study examines how early sensory loss affects thalamocortical networks, finding structural and functional changes in visual and auditory systems.

Brainana: an end-to-end preprocessing framework for macaque neuroimaging

Brainana provides an automated preprocessing framework for macaque neuroimaging, enabling reproducible and scalable analysis across multiple sites.

Myelination across cortical hierarchies and depths in humans and macaques

This study compares myelination patterns across cortical depths and hierarchies in humans and macaques, finding a conserved inside-out pattern with extended myelination in humans.

The Cognitive Critical Brain: Modulation of Criticality in Task-Engaged Regions

This study investigates how criticality in cortical subsystems changes during cognitive tasks using computational models and fMRI data, finding heterogeneous modulation in specific brain regions.

A studyforrest extension, MEG recordings while watching the audio-visual movie "Forrest Gump"

The paper presents a public MEG dataset of 11 participants watching the movie 'Forrest Gump' to study neural dynamics with high temporal resolution.

Hierarchical sparse coding of objects in deep convolutional neural networks

This study shows that deep convolutional neural networks use a hierarchical sparse coding scheme similar to the primate brain, with increasing sparseness and correlation with object recognition performance.

DNNBrain: a unifying toolbox for mapping deep neural networks and brains

DNNBrain provides a Python toolbox for exploring internal representations in deep neural networks and the brain, enabling cross-disciplinary research between deep learning and cognitive neuroscience.