Background: Humans often use co-speech gestures to promote effective communication. Attention has been paid to the cortical areas engaged in the processing of co-speech gestures. Aims: To investigate the neural network underpinned in the processing of co-speech gestures and to observe whether there is a relationship between areas involved in…

In this thesis, I use a combination of simulations and empirical data to demonstrate that a small set of structural and functional principles - the basic tenets of predictive coding theory - succinctly accounts for a very wide range of properties in the language processing system. Predictive coding approximates hierarchical Bayesian inference via…

Semantic priming in Turkish was examined in 36 right-handed healthy participants in a delayed lexical decision task via taxonomic relations using EEG. Prime--target relations included related- unrelated- and pseudo-words. Taxonomically related words at long stimulus onset asynchrony (SOA) were shown to modulate N400 and late positive component…

Embodied models of language comprehension assume that words become associated with sensorimotor experiences during word learning. Novel word learning paradigms may provide insight into embodied effects, but studies in this domain have yet to account for how concepts and information known in first language (L1) might influence the sensorimotor…

For more than a half-century, lists of words have served as the memoranda of choice in studies of human memory. To better understand why some words and lists are easier to recall than others, we estimated multivariate models of word and list recall. In each of the 23 sessions, subjects (N = 98) studied and recalled the same set of 576 words,…

While past research has demonstrated a link between the subjective "Aha" experience of insight and verbal insight problem solution activation in the right hemisphere (RH), no one has yet linked insight to long term semantic priming. We propose that through a shared process of semantic integration both of these concepts are linked and…

Purpose: Listeners shift their listening strategies between lower level acoustic information and higher level semantic information to prioritize maximum speech intelligibility in challenging listening conditions. Although increasing task demands via acoustic degradation modulates lexical-semantic processing, the neural mechanisms underlying…

It is well known that the semantic features of gender associated with peoples' names are represented in the conceptual semantic system. However, there is scant evidence that such knowledge plays a role in name comprehension, and if so, in which processing stage this occurs. The aim of this study was to provide evidence concerning the time course…

Semantic distance is increasingly used for automated scoring of originality on divergent thinking tasks, such as the Alternate Uses Task (AUT). Despite some psychometric support for semantic distance -- including positive correlations with human creativity ratings -- additional work is needed to optimize its reliability and validity, including…

Learning new languages is a complex task involving both explicit and implicit processes (i.e., that do/do not involve awareness). Understanding how these processes interact is essential to a full account of second language (L2) learning, but accounts vary as to whether explicit processes help (e.g., DeKeyser, 2007), hinder (e.g., Ellis &…

Language production ultimately aims to convey meaning. Yet words differ widely in the richness and density of their semantic representations, and these differences impact conceptual and lexical processes during speech planning. Here, we replicated the recent finding that semantic richness, measured as the number of associated semantic features…

The present paper addresses the study of non-arbitrariness in language within a deep learning framework. We present a set of experiments aimed at assessing the pervasiveness of different forms of non-arbitrary phonological patterns across a set of typologically distant languages. Different sequence-processing neural networks are trained in a set…

Investigating instances where lexical selection fails can lead to deeper insights into the cognitive machinery and architecture supporting successful word retrieval and speech production. In this paper, we used a multiplex lexical network approach that combines semantic and phonological similarities among words to model the structure of the mental…

The representational product of sentence comprehension is the result of the interplay between episodic and semantic memory and our knowledge of the grammatical devices of our language which guide how we retrieve information from these systems. Past participles, being a part of speech derived from verbs but used in a prenominal position (e.g. words…

Evidence from a range of fields shows that representation-connection (RC) is the key step towards the solution of a real-world insight problem. However, no study has focused on the inter-individual variability in RC, and little is known about whether structural and resting-state functional signals can account for inter-individual differences in…