Cortical gain regulation allows neurons to respond adaptively to changing inputs. Neural
gain is modulated by internal and external influences, including attentional and arousal …

Neuronal networks with strong recurrent connectivity provide the brain with a powerful
means to perform complex computational tasks. However, high-gain excitatory networks are …

The stereotyped features of neuronal circuits are those most likely to explain the remarkable
capacity of the brain to process information and govern behaviors, yet it has not been …

Gamma band rhythms may synchronize distributed cell assemblies to facilitate information
transfer within and across brain areas, yet their underlying mechanisms remain hotly …

In the neocortex, neural activity is shaped by the interaction of excitatory and inhibitory
neurons, defined by the organization of their synaptic connections. Although connections …

Cortical interneurons display striking differences in shape, physiology, and other attributes,
challenging us to appropriately classify them. We previously suggested that interneuron …

Neural computation involves diverse types of GABAergic inhibitory interneurons that are
integrated with excitatory (E) neurons into precisely structured circuits. To understand how …

Optogenetics allows manipulations of genetically and spatially defined neuronal populations
with excellent temporal control. However, neurons are coupled with other neurons over …

Cortical computation arises from the interaction of multiple neuronal types, including
pyramidal (Pyr) cells and interneurons expressing Sst, Vip, or Pvalb. To study the circuit …

How learning enhances neural representations for behaviorally relevant stimuli via activity
changes of cortical cell types remains unclear. We simultaneously imaged responses of …