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 …

How is conscious experience related to material brain processes? A variety of theories
aiming to answer this age-old question have emerged from the recent surge in …

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 …

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 …

Convolutional neural networks are an important category of deep learning, currently facing
the limitations of electrical frequency and memory access time in massive data processing …

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 …

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 …

Human cortex transcriptomic studies have revealed a hierarchical organization of γ-
aminobutyric acid–producing (GABAergic) neurons from subclasses to a high diversity of …