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

Since the crucial importance of vocabulary knowledge in the language learning process has
finally been recognized, the mental lexicon has also been the focus of attention in a number …

Lexical access in bilinguals can be modulated by multiple factors in their individual
language learning history. We developed the BiLex computational model to examine the …

A defining characteristic of Alzheimer's disease is difficulty in retrieving semantic memories,
or memories encoding facts and knowledge. While it has been suggested that this …

Many clinical groups exhibit atypical thought, language, and communication skills. However,
these deficiencies have been examined only indirectly via behavioral means. In this chapter …

Future work in network science, cognitive psychology, and related fields will explain if the
path suggested in the present chapter will live up to the promise of connecting mind, brain …

We investigated network principles underlying mental search through a novel phonological
verbal fluency task. Post exclusion, 95 native-language Mandarin speakers produced as …

Learning English as a foreign language is a core part of K-12 education for many countries
in which English is not the main spoken language, and especially in Asia. One of the …

This is a three-part project concerning methods for the study of political semantics---how the
“meaning” of political concepts is represented and organized in memory and implications for …