Over more than a century of research has established the fact that sleep benefits the
retention of memory. In this review we aim to comprehensively cover the field of “sleep and …

Reinforcement learning (RL) is a framework of particular importance to psychology,
neuroscience and machine learning. Interactions between these fields, as promoted through …

Preprocessing of functional magnetic resonance imaging (fMRI) involves numerous steps to
clean and standardize the data before statistical analysis. Generally, researchers create ad …

Drawing on current research in psychology, a new philosophical account of remembering as
imagining the past. In this book, Kourken Michaelian builds on research in the psychology of …

We review the psychology and neuroscience of reinforcement learning (RL), which has
experienced significant progress in the past two decades, enabled by the comprehensive …

The idea that memory is not a single mental faculty has a long and interesting history but
became a topic of experimental and biologic inquiry only in the mid-20th century. It is now …

The highly complex structure of the human brain is strongly shaped by genetic influences.
Subcortical brain regions form circuits with cortical areas to coordinate movement, learning …

The mesostriatal dopamine system is prominently implicated in model-free reinforcement
learning, with fMRI BOLD signals in ventral striatum notably covarying with model-free …

To construct an artificial intelligence system with high efficient information integration and
computing capability like the human brain, it is necessary to realize the biological …

Adolescents are notorious for engaging in reward-seeking behaviors, a tendency attributed
to heightened activity in the brain's reward systems during adolescence. It has been …