Recent breakthroughs in artificial intelligence (AI) have enabled machines to plan in tasks
previously thought to be uniquely human. Meanwhile, the planning algorithms implemented …

Psychology and neuroscience are concerned with the study of behavior, of internal cognitive
processes, and their neural foundations. However, most laboratory studies use constrained …

Goal-directed navigation requires continuously integrating uncertain self-motion and
landmark cues into an internal sense of location and direction, concurrently planning future …

Normative and descriptive models have long vied to explain and predict human risky
choices, such as those between goods or gambles. A recent study reported the discovery of …

Computational level explanations based on optimal feedback control with signal-dependent
noise have been able to account for a vast array of phenomena in human sensorimotor …

Success in many real-world tasks depends on our ability to dynamically track hidden states
of the world. We hypothesized that neural populations estimate these states by processing …

Foraging is a natural behavior that involves making sequential decisions to maximize
rewards while minimizing the costs incurred when doing so. The prevalence of foraging …

Sensory evidence accumulation is considered a hallmark of decision-making in noisy
environments. Integration of sensory inputs has been traditionally studied using passive …

Foraging for food is a rich and ubiquitous animal behavior that involves complex cognitive
decisions, and interactions between different individuals and species. There has been …

To behave adaptively, animals must learn to predict future reward, or value. To do this,
animals are thought to learn reward predictions using reinforcement learning. However, in …