Addressing the multiscale organization of the brain, which is fundamental to the dynamic
repertoire of the organ, remains challenging. In principle, it should be possible to model …

Despite substantial recent progress, our understanding of the principles and mechanisms
underlying complex brain function and cognition remains incomplete. Network neuroscience …

Extensive sampling of neural activity during rich cognitive phenomena is critical for robust
understanding of brain function. Here we present the Natural Scenes Dataset (NSD), in …

Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

The neocortex is disproportionately expanded in human compared with mouse,, both in its
total volume relative to subcortical structures and in the proportion occupied by …

Elucidating the cellular organization of the cerebral cortex is critical for understanding brain
structure and function. Using large-scale single-nucleus RNA sequencing and spatial …

Neurons are frequently classified into distinct types on the basis of structural, physiological,
or genetic attributes. To better constrain the definition of neuronal cell types, we …

We present a unique, extensive, and open synaptic physiology analysis platform and
dataset. Through its application, we reveal principles that relate cell type to synaptic …

The neocortex contains a multitude of cell types that are segregated into layers and
functionally distinct areas. To investigate the diversity of cell types across the mouse …

Artificial intelligence now advances by performing twice as many floating-point
multiplications every two months, but the semiconductor industry tiles twice as many …