Large language models (LLMs) have been transformative. They are pretrained foundational
models that are self-supervised and can be adapted with fine-tuning to a wide range of …

Executive control, the ability to organize thoughts and action plans in real time, is a defining
feature of higher cognition. Classical theories have emphasized cortical contributions to this …

Flexible computation is a hallmark of intelligent behavior. Yet, little is known about how
neural networks contextually reconfigure for different computations. Humans are able to …

The structures of dendrites and axons form the basis for the connectivity of neural network,
but their precise relationship at single-neuron level remains unclear. Here we report the …

Grid cells fire at multiple positions that organize the vertices of equilateral triangles tiling a
2D space and are well studied in rodents. The last decade witnessed rapid progress in two …

Recent advances in connectomics and neurophysiology make it possible to probe whole-
brain mechanisms of cognition and behavior. We developed a large-scale model of the …

To investigate the circuit-level neural mechanisms of behavior, simultaneous imaging of
neuronal activity in multiple cortical and subcortical regions is highly desired. Miniature head …

Neuroscientists rely on distributed spatio-temporal patterns of neural activity to understand
how neural units contribute to cognitive functions and behavior. However, the extent to …

Brain-wide information routing relies on the spatio-temporal dynamics of neural activity, but it
remains unclear how routing states emerge at fast spiking timescales and relate to slower …

Humans and non-human primates can flexibly switch between different arbitrary mappings
from sensation to action to solve a cognitive task. It has remained unknown how the brain …