We argue that critical areas of memory research rely on problematic measurement practices
and provide concrete suggestions to improve the situation. In particular, we highlight the …

Fluent conversation requires temporal organization between conversational exchanges. By
performing a systematic review and Bayesian multi‐level meta‐analysis, we map the …

Deep neural networks (DNNs) have had extraordinary successes in classifying
photographic images of objects and are often described as the best models of biological …

The idea that human cognition is, or can be understood as, a form of computation is a useful
conceptual tool for cognitive science. It was a foundational assumption during the birth of …

In the cognitive, computational, and neuro-sciences, practitioners often reason about what
computational models represent or learn, as well as what algorithm is instantiated. The …

Automation transformed various aspects of our human civilization, revolutionizing industries
and streamlining processes. In the domain of scientific inquiry, automated approaches …

Many scientists routinely generalize from study samples to larger populations. It is commonly
assumed that this cognitive process of scientific induction is a voluntary inference in which …

Normative and descriptive models have long vied to explain and predict human risky
choices, such as those between goods or gambles. A recent study reported the discovery of …

Neuroscientists apply a range of analysis tools to recorded neural activity in order to glean
insights into how neural circuits drive behavior in organisms. Despite the fact that these tools …

This aim of this paper is two-fold: it critically analyses and rejects accounts blending active
inference as theory of mind and enactivism; and it advances an enactivist-dynamic …