Network science provides a set of quantitative methods to investigate complex systems,
including human cognition. Although cognitive theories in different domains are strongly …

Networks of interconnected nodes have long played a key role in Cognitive Science, from
artificial neural networks to spreading activation models of semantic memory. Recently …

Creative ideas likely result from searching and combining semantic memory knowledge, yet
the mechanisms acting on memory to yield creative ideas remain unclear. Here, we …

Imagination will remain a mystery—we will not be able to explain imagination—until we can
break it into simpler parts that are more easily understood. Explaining Imagination is a …

Older adults tend to have a broader vocabulary compared to younger adults–indicating a
richer storage of semantic knowledge–but their retrieval abilities decline with age. Recent …

Question asking has been a critical tool for teaching and learning since the time of Socrates
and is important in the creative problem-solving process. Yet, its role in creativity has insofar …

When people are asked to retrieve members of a category from memory, clusters of
semantically related items tend to be retrieved together. A recent article by Hills, Jones, and …

The design of an effective ranking method to identify influential nodes is an important
problem in the study of complex networks. In this paper, a new centrality measure is …

To date, the application of semantic network methodologies to study cognitive processes in
psychological phenomena has been limited in scope. One barrier to broader application is …

1 Associative and controlled cognition in divergent thinking: Theoretical, experimental,
neuroimaging evidence, and new direct Page 1 1 Associative and controlled cognition in …