Substantial experimental, theoretical, and computational insights into sensory processing
have been derived from the phenomena of perceptual multistability—when two or more …

Many organisms rely on a capacity to rapidly replicate, disperse, and evolve when faced
with uncertainty and novelty. But mammals do not evolve and replicate quickly. They rely on …

Classic reinforcement learning (RL) theories cannot explain human behavior in the absence
of external reward or when the environment changes. Here, we employ a deep sequential …

In zoos, primates experience markedly different interactions with familiar humans, such as
the zookeepers who care for them, compared with those with unfamiliar humans, such as the …

Primates and other animals must detect novel objects. However, the neuronal mechanisms
of novelty detection remain unclear. Prominent theories propose that visual object novelty is …

Human curiosity has been interpreted as a drive for exploration and modeled by intrinsically
motivated reinforcement learning algorithms. An unresolved challenge in machine learning …

Ecological fitness depends on maintaining object histories to guide future interactions.
Recent evidence shows that value memory changes passive visual responses to objects in …

Initial changes in Parkinson's disease (PD) are marked by loss of automatic movements and
decline of some cognitive functions. Yet, the exact profile and extent of cognitive …

As classroom teachers, we understand the struggles students face daily, especially in
mathematics. These challenges can include language barriers which may or may not be …

Recent evidence implicates both basal ganglia and ventrolateral prefrontal cortex (vlPFC) in
encoding value memories. However, comparative roles of cortical and basal nodes in value …