Huan Luo

"Compressive learning" scaffolds higher-order network structure to enhance human knowledge acquisition

This paper introduces compressive learning, a framework that uses higher-order network structure to improve human knowledge acquisition by embedding node-degree inhomogeneity into pre-learning trajectories.

Transformed reactivation of latent working memory enables hierarchical language processing

The paper investigates how the brain maintains and retrieves words during language comprehension, finding that memory is activity-silent and structured, with reactivation in specific brain regions.

Humans construct idiosyncratic, self-consistent global rankings from few-shot local evidence

The paper shows humans create unique, self-consistent global rankings from limited local pairwise data, diverging from ground-truth, and reveals neural mechanisms underlying this process.

Tetanizing wakeful consolidation: ten-hertz repetitive visual stimulation enhances the offline gain of visual learning

The paper shows that 10-Hz repetitive visual stimulation enhances wakeful consolidation of visual learning, while 1-Hz RVS impairs it, suggesting a role for alpha entrainment and LTP-like plasticity.

Shared structure facilitates working memory of multiple sequences

The paper shows that consistent trajectory structures improve working memory performance and neural reactivation when recalling multiple sequences.

Reactivated past decisions repel early sensory processing and attract late decision-making

The paper shows that past decisions influence sensory processing and decision-making in two stages using EEG/MEG data from delayed-response tasks.

2-D Neural Geometry Underpins Hierarchical Organization of Sequence in Human Working Memory

The paper shows that human working memory represents sequences using 2-D neural geometry, encoding item and chunk positions, and this structure persists across different experimental conditions.

An adversarial collaboration to critically evaluate theories of consciousness

A preregistered multimodal neuroimaging study across 256 human participants directly tests Integrated Information Theory against Global Neuronal Workspace Theory, confirming some predictions while revealing major empirical challenges for both.

Reactivating ordinal position information from auditory sequence memory in human brains

This study identifies how ordinal position information of auditory sequences is stored and reactivated in human working memory using EEG, revealing its temporal dynamics and behavioral relevance.

Dynamic emergence of relational structure network in human brains

The paper shows human brains compute temporal statistical relationships from image sequences, revealing lower-order transition probabilities and higher-order community structures that predict behavior.

Co-occurrence of past and present shifts current neural representations and mediates serial biases

The paper shows that serial bias in perception arises from the co-occurrence of past-trial neural reactivation and current-trial feature encoding, leading to feature-specific biases.

Sequence structure organizes items in varied latent states of working memory neural network

The paper shows sequence context reorganizes working memory items into distinct latent states, influencing recency behavior through neural reactivation patterns.

Distinct neural representations of content and ordinal structure in auditory sequence memory

The paper demonstrates that content and structure in auditory sequence memory are stored dissociatively in the human brain using EEG, with distinct coding characteristics during working memory retention.

Automatic and fast encoding of representational uncertainty underlies probability distortion

The paper shows the brain automatically encodes representational uncertainty in probability judgments, linking it to probability distortion behavior.

Temporally coherent perturbation of neural dynamics during retention alters human multi-item working memory

This study uses dynamic perturbation to manipulate neural dynamics during working memory retention, showing it alters memory strength through synaptic plasticity.

Mental operations in rhythm: motor-to-sensory transformation mediates imagined singing

The paper investigates how motor-to-sensory neural transformations support imagined singing and verbal thinking by analyzing MEG data during rhythmic mental tasks.

Sustained visual priming effects can emerge from attentional oscillation and temporal expectation

The paper develops a computational model showing sustained and oscillated visual priming effects arise from attentional oscillation and temporal expectation, supported by reanalysis and new experiments.

Fast-backward replay of sequentially memorized items in humans

The paper shows that humans replay memorized sequences in reverse order during memory retention, linking this to the recency effect and memory consolidation.

Fluctuations of fMRI activation patterns reveal theta-band dynamics of visual object priming

This study uses fMRI and a time-resolved paradigm to show theta-band fluctuations in visual object priming, with FFA theta power negatively correlating with reaction time.