A major shift is happening within neurophysiology: a population doctrine is drawing level
with the single-neuron doctrine that has long dominated the field. Population-level ideas …

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 …

Flexible behaviors over long timescales are thought to engage recurrent neural networks in
deep brain regions, which are experimentally challenging to study. In insects, recurrent …

Short-term memories link events separated in time, such as past sensation and future
actions. Short-term memories are correlated with slow neural dynamics, including selective …

Brain activity observed at many spatiotemporal scales exhibits a 1/f-like power spectrum,
including neuronal membrane potentials, neural field potentials, noninvasive …

Many animals rely on persistent internal representations of continuous variables for working
memory, navigation, and motor control. Existing theories typically assume that large …

Making sense of the world requires us to process information over multiple timescales. We
sought to identify brain regions that accumulate information over short and long timescales …

Prefrontal persistent activity during the delay of spatial working memory tasks is thought to
maintain spatial location in memory. A'bump attractor'computational model can account for …

Working memory is characterized by neural activity that persists during the retention interval
of delay tasks. Despite the ubiquity of this delay activity across tasks, species and …

Calcium imaging with fluorescent protein sensors is widely used to record activity in
neuronal populations. The transform between neural activity and calcium-related …