Extracting behavioral measurements non-invasively from video is stymied by the fact that it is
a hard computational problem. Recent advances in deep learning have tremendously …

Recording from a large neuronal population of neurons is a crucial challenge to unravel how
information is processed by the brain. In this review, we highlight the recent advances made …

Addressing the climate crisis requires radical and urgent action at all levels of society.
Universities are ideally positioned to lead such action but are largely failing to do so. At the …

Persistent neural activity maintains information that connects past and future events. Models
of persistent activity often invoke reverberations within local cortical circuits, but long-range …

Objective. Closed-loop experiments, in which causal interventions are conditioned on the
state of the system under investigation, have become increasingly common in neuroscience …

Structural rules underlying functional properties of cortical circuits are poorly understood. To
explore these rules systematically, we integrated information from extensive literature …

To understand how the brain processes sensory information to guide behavior, we must
know how stimulus representations are transformed throughout the visual cortex. Here we …

Much development has been directed toward improving the performance and automation of
spike sorting. This continuous development, while essential, has contributed to an over …

The neurophysiology of cells and tissues are monitored electrophysiologically and optically
in diverse experiments and species, ranging from flies to humans. Understanding the brain …

Acquisition, analysis and simulation of electrophysiological properties of the nervous system
require multiple software packages. This makes it difficult to conserve experimental …