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 …

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 beliefs …

A hallmark of higher brain function is the ability to rapidly and flexibly adjust behavioral
responses based on internal and external cues. Here, we examine the computational principles …

Local feedforward and recurrent connectivity are rife in the frontal areas of the cerebral
cortex, which gives rise to rich heterogeneous dynamics observed in such areas. Recently, …

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

Abstract Knowledge about the statistical regularities of the world is essential for cognitive
and sensorimotor function. In the domain of timing, prior statistics are crucial for optimal …

Bayesian inference has emerged as a general framework that captures how organisms make
decisions under uncertainty. Recent experimental findings reveal disparate mechanisms …

Artificial Neural Networks (ANNs) trained on specific cognitive tasks have re-emerged as a
useful tool to study the brain. However, ANNs would better aid cognitive neuroscience if a …

Vision represents an excellent model for studying adaptation, given the genotype‐to‐phenotype
map that has been characterized in a number of taxa. Fish possess a diverse range of …

In the course of its interaction with the world, the human nervous system must constantly
estimate various variables in the surrounding environment. Past research indicates that …