Neuroscientists today can measure activity from more neurons than ever before, and are
facing the challenge of connecting these brain-wide neural recordings to computation and …

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

Predictive processing postulates the existence of prediction error neurons in cortex. Neurons
with both negative and positive prediction error response properties have been identified in …

INTRODUCTION In the absence of sensory inputs, the brain produces structured patterns of
activity, which can be as large as or larger than sensory-driven activity. Ongoing activity …

Neural activity and behavior are both notoriously variable, with responses differing widely
between repeated presentation of identical stimuli or trials. Recent results in humans and …

The state of the brain and body constantly varies on rapid and slow timescales. These
variations contribute to the apparent noisiness of sensory responses at both the neural and …

Recent studies have shown that neuronal representations gradually change over time
despite no changes in the stimulus, environment, or behavior. However, such …

The neural correlates of optimal states for signal detection task performance are largely
unknown. One hypothesis holds that optimal states exhibit tonically depolarized cortical …

Recent studies in mice have shown that orofacial behaviors drive a large fraction of neural
activity across the brain. To understand the nature and function of these signals, we need …

The cortical population code is pervaded by activity patterns evoked by movement, but it
remains largely unknown how such signals relate to natural behavior or how they might …