Since the discovery of ocular dominance plasticity, neuroscientists have understood that
changes in visual experience during a discrete developmental time, the critical period …

Single-cell transcriptomic approaches are revolutionizing neuroscience. Integrating this
wealth of data with morphology and physiology, for the comprehensive study of neuronal …

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 …

Cortical neurons exhibit extreme diversity in gene expression as well as in morphological
and electrophysiological properties 1, 2. Most existing neural taxonomies are based on …

Inter-areal coherence between field potentials is a widespread phenomenon in cortex.
Coherence has been hypothesized to reflect phase-synchronization between oscillators and …

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

The cardinal classes are a useful simplification of cortical interneuron diversity, but such
broad subgrou**s gloss over the molecular, morphological, and circuit specificity of …

Cortical neural circuits are complex but very precise networks of balanced excitation and
inhibition. Yet, the molecular and cellular mechanisms that form the balance are just …

Complex neocortical functions rely on networks of diverse excitatory and inhibitory neurons.
While local connectivity rules between major neuronal subclasses have been established …