Browse our Research Articles

Strong and temporally precise coupling between frontal slow oscillations and fast spindles consistently predicts memory retention across conditions, supporting its role as a fundamental mechanism in sleep-dependent memory consolidation.

High-content high-resolution microscopy coupled with deep learning-based analysis reveals novel phenotypes at the single-cell level during Shigella infection.

A sequence-based method, DIRseq, has been developed to predict drug-interacting residues of intrinsically disordered proteins.

The first follicle wave undergoes atresia to amplify androgen-producing theca cells, while previously unknown wave 1.5 follicles leave quiescence at 2 weeks and produce most of the earliest offspring.

Social enrichment increases the less-frequent high-intensity aggressive tussling and decreases the low-intensity aggressive lunging via distinct sensory and central neurons.

Archaeal cells mix single-headed and double-headed lipids to construct resilient but flexible membranes to help them survive in extreme environments.

Machine learning with whole-cell patch-clamp and local field potential recordings reveals that synaptic responses from five mossy cells, despite their limited population, can significantly reconstruct about 30% of the total hippocampal sharp wave-ripples, highlighting efficient distributed coding within subthreshold activities.

The dorsal vagal complex is a highly intricate structure composed of distinct transcriptional classes of glial and neuronal cells, exhibiting many similarities but also notable differences between mice and rats.

A neural-digestive mechanism has been presented for evaluating harmful food.

Widespread sex-dimorphic transcriptomic changes during human aging in pan-tissues scale reveal distinct molecular aging trajectories and potential links to age-related disease vulnerability.