During learning, the brain modifies synapses to improve behaviour. In the cortex, synapses
are embedded within multilayered networks, making it difficult to determine the effect of an …

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 …

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 …

In the cerebral cortex, GABAergic interneurons have evolved as a highly heterogeneous
collection of cell types that are characterized by their unique spatial and temporal …

Astrocytes, one of the largest glial cell population in the central nervous system (CNS), play
a key function in several events of brain development and function, such as synapse …

Neurons have diverse molecular, morphological, connectional and functional properties. We
believe that the only realistic way to manage this complexity—and thereby pave the way for …

Cortical networks are composed of glutamatergic excitatory projection neurons and local
GABAergic inhibitory interneurons that gate signal flow and sculpt network dynamics …