A fascinating hypothesis is that human and animal intelligence could be explained by a few
principles (rather than an encyclopaedic list of heuristics). If that hypothesis was correct, we …

Fatigue has been defined differently in the literature depending on the field of research. The
inconsistent use of the term fatigue complicated scientific communication, thereby limiting …

Prior work has identified a resilient phenomenon that threatens the performance of human-
AI decision-making teams: overreliance, when people agree with an AI, even when it is …

The locus coeruleus (LC), or 'blue spot', is a small nucleus located deep in the brainstem
that provides the far-reaching noradrenergic neurotransmitter system of the brain. This …

Modeling human cognition is challenging because there are infinitely many mechanisms
that can generate any given observation. Some researchers address this by constraining the …

Pupillometry research has experienced an enormous revival in the last two decades. Here
we briefly review the surge of recent studies on task-evoked pupil dilation in the context of …

Neuronal signalling and communication underpin virtually all aspects of brain activity and
function. Network science approaches to modelling and analysing the dynamics of …

According to prominent models in cognitive psychology, neuroscience, and economics,
effort (be it physical or mental) is costly: when given a choice, humans and non-human …

The emergence of powerful artificial intelligence (AI) is defining new research directions in
neuroscience. To date, this research has focused largely on deep neural networks trained …

We propose the self-regulation view in writing-to-learn as a promising theoretical
perspective that draws on models of self-regulated learning theory and cognitive load …