We argue that prediction success maximization is a basic objective of cognition and cortex,
that it is compatible with but distinct from prediction error minimization, that neither objective …

Since the publication of the first neuroscience study investigating emotion with music about
two decades ago, the number of functional neuroimaging studies published on this topic has …

The role of the hippocampus in decision-making is beginning to be more understood.
Because of its prospective and inferential functions, we hypothesized that it might be …

Reinforcement learning and goal-seeking behavior are thought to be mediated by midbrain
dopamine neurons. However, little is known about neural substrates of curiosity and …

Jointly minimizing multiple threats over extended time horizons enhances survival.
Consequently, many tests of approach–avoidance conflicts incorporate multiple threats for …

It has been proposed that agency disorders found in schizophrenia rely on aberrant
processing of prediction error. Overreactivity to nonpertinent prediction errors may lead to …

Sleep loss with work overload can impact human cognitive performance. However, the
brain's response to an increased working memory load following total sleep deprivation …

Prominent theories posit that associative memory structures, known as cognitive maps,
support flexible generalization of knowledge across cognitive domains. Here, we evince a …

With an increasingly ageing global population, more people are presenting with concerns
about their cognitive function, but not all have an underlying neurodegenerative diagnosis …

Uncertainty presents a problem for both human and machine decision-making. While utility
maximization has traditionally been viewed as the motive force behind choice behavior, it …