Timing is critical to most forms of learning, behavior, and sensory-motor processing.
Converging evidence supports the notion that, precisely because of its importance across a …

Durations are defined by a beginning and an end, and a major distinction is drawn between
durations that start in the present and end in the future ('prospective timing') and durations …

Neuroscience has focused on the detailed implementation of computation, studying neural
codes, dynamics and circuits. In machine learning, however, artificial neural networks tend …

Musicians can perform at different tempos, speakers can control the cadence of their
speech, and children can flexibly vary their temporal expectations of events. To understand …

The mechanism of memory remains one of the great unsolved problems of biology.
Grappling with the question more than a hundred years ago, the German zoologist Richard …

Statistical regularities in the environment create prior beliefs that we rely on to optimize our
behavior when sensory information is uncertain. Bayesian theory formalizes how prior …

Neural mechanisms that support flexible sensorimotor computations are not well
understood. In a dynamical system whose state is determined by interactions among …

Our decisions often depend on multiple sensory experiences separated by time delays. The
brain can remember these experiences and, simultaneously, estimate the timing between …

The striatum is an input structure of the basal ganglia implicated in several time-dependent
functions including reinforcement learning, decision making, and interval timing. To …

Telling time is fundamental to many forms of learning and behavior, including the
anticipation of rewarding events. Although the neural mechanisms underlying timing remain …