Achieving the promised benefits of a new technology is closely tied to its sustained use. The
dominant approach has been to predict use based on behavioral intention. Central to this …

From Piaget to the present, traditional and dual-process theories have predicted
improvement in reasoning from childhood to adulthood, and improvement has been …

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

Habits form a crucial component of behavior. In recent years, key computational models
have conceptualized habits as arising from model-free reinforcement learning mechanisms …

In the 20th century it was thought that novel behaviors are mediated primarily in cortex and
that the development of automaticity is a process of transferring control to subcortical …

The roles of the basal ganglia (BG) in motor control are much debated. Many influential
hypotheses have grown from studies in which output signals of the BG were not blocked, but …

Memory systems research has typically described the different types of long-term memory in
the brain as either declarative versus non-declarative or implicit versus explicit. These …

The ability to group items and events into functional categories is a fundamental
characteristic of sophisticated thought. It is subserved by plasticity in many neural systems …

During the 1990s and early 2000s, cognitive neuroscience investigations of human category
learning focused on the primary goal of showing that humans have multiple category …

The basal ganglia play a central role in cognition and are involved in such general functions
as action selection and reinforcement learning. Here, we present a model exploring the …