Browse our Research Articles

Common principles of white matter microstructure and pathway organisation was revealed using diffusion MRI and x-ray synchrotron imaging across resolutions, and employing diffusion tensor, micro-tensor, multi-fiber, and structure tensor models.

This frontostriatal neural network model links the source of working memory capacity limitations to challenges in learning resource management, and mitigates this challenge by learning a 'chunking' strategy.

Combining biologically-plausible neural network models of vision with traditional decision-making models enables a detailed characterization of how the visual system extracts representations that guide decisions from raw sensory inputs.

3D electron microscopy provides the first extensive quantitative ultrastructural dataset of synapses of the human entorhinal cortex.

Multi-level molecular modeling reveals how PROTAC-induced protein structural dynamics of degradation machinery complexes promote ubiquitination processes.

Although Oct4 is expressed earlier than Sox2 in mouse embryos, both of them begin to perform their role in activating pluripotency-related genes in the inner cell mass.

Dynamic fluid-structure coupling method simulated the feeding and respiration patterns of Quadrapyrgites, revealing the relationship between the ancient medusozoans and modern jellyfish.

The discovery of X chromosome-associated protein 5 (Xap5)-mediated transcriptional rewiring of ciliary genes in animals reveals that this regulatory mechanism was conserved during evolution.

The unexpected absence of danger is experienced as a pleasurable relief and activates reward-related brain regions in humans, highlighting an overlap in the processing of absent danger and rewards.

Motor memories represent dynamics in a minimum noise framework such that the execution of forces based on this representation minimizes the force distortion arising from neural noise, explaining the prior inconsistent force generalization results.