This study explores whether semantic processing in parafoveal reading in the Italian language is modulated by the perceptual and lexical features of stimuli by analyzing the results of the rapid parallel visual presentation (RPVP) paradigm experiment, which simultaneously presented two words, with one in the fovea and one in the parafovea. The words were randomly sampled from a set of semantically related and semantically unrelated pairs. The accuracy and reaction times in reading the words were measured as a function of the stimulus length and written word frequency. Fewer errors were observed in reading parafoveal words when they were semantically related to the foveal ones, and a larger semantic facilitatory effect was observed when the foveal word was highly frequent and the parafoveal word was short. Analysis of the reaction times suggests that the semantic relation between the two words sped up the naming of the foveal word when both words were short and highly frequent. Altogether, these results add further evidence in favor of the semantic processing of words in the parafovea during reading, modulated by the orthographic and lexical features of the stimuli. The results are discussed within the context of the most prominent models of word processing and eye movement controls in reading.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7823665 | PMC |
| http://dx.doi.org/10.3390/brainsci11010028 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Leveraging two-dimensional pre-trained vision transformers for three-dimensional model generation via masked autoencoders.
Sci Rep
January 2025
Department of Electrical Power, Adama Science and Technology University, Adama, 1888, Ethiopia.
Although the Transformer architecture has established itself as the industry standard for jobs involving natural language processing, it still has few uses in computer vision. In vision, attention is used in conjunction with convolutional networks or to replace individual convolutional network elements while preserving the overall network design. Differences between the two domains, such as significant variations in the scale of visual things and the higher granularity of pixels in images compared to words in the text, make it difficult to transfer Transformer from language to vision.
View Article and Find Full Text PDFARCH: Large-scale knowledge graph via aggregated narrative codified health records analysis.
J Biomed Inform
January 2025
Harvard T.H. Chan School of Public Health, 677 Huntington Ave, Boston, 02115, MA, USA; VA Boston Healthcare System, 150 S Huntington Ave, Boston, 02130, MA, USA. Electronic address:
Objective: Electronic health record (EHR) systems contain a wealth of clinical data stored as both codified data and free-text narrative notes (NLP). The complexity of EHR presents challenges in feature representation, information extraction, and uncertainty quantification. To address these challenges, we proposed an efficient Aggregated naRrative Codified Health (ARCH) records analysis to generate a large-scale knowledge graph (KG) for a comprehensive set of EHR codified and narrative features.
View Article and Find Full Text PDFSemantic Memory Space Becomes Denser with Age.
Neuropsychologia
January 2025
University of Texas at Austin, 110 Inner Campus Drive, Austin, TX, 78712, USA.
Semantic memory, a repository for concepts and factual information, plays a vital role in acquiring and retrieving knowledge. This study explores the impact of age-related knowledge accumulation on semantic cognition, investigating whether a denser representational space affects retrieval processes. Using a semantic feature verification task, we employ both behavioral (reaction time; RT) and neurophysiological (event-related potential; ERP) measures to explore these dynamics across young and older adults.
View Article and Find Full Text PDFCommon and distinct ERP responses to violations of two different types of politeness maxims during sentence comprehension.
Brain Lang
January 2025
School of Psychological and Cognitive Sciences, Peking University, Beijing 100871 China; Beijing Key Laboratory of Behavior and Mental Health and Key Laboratory of Machine Perception (Ministry of Education), Peking University, Beijing 100871 China. Electronic address:
An ERP experiment was conducted to investigate the common and distinct neurocognitive mechanisms underlying the on-line processing of two types of politeness maxims (self-depreciation and other-elevation) and the individual differences during sentence reading. Electroencephalograms were recorded while participants read sentences containing pragmatically appropriate or inappropriate honorific or humble terms. When collapsing all participants' data, inappropriate humble and honorific terms elicited N400 and P600 effects, respectively, which could reflect semantic processing costs and rechecking processes, respectively.
View Article and Find Full Text PDFPitch-based correspondences related to abstract concepts.
Acta Psychol (Amst)
January 2025
Phonetics and speech synthesis research group, Department of Digital Humanities, Faculty of Arts, University of Helsinki, Unioninkatu 38, Helsinki, Finland. Electronic address:
Previous investigations have shown pitch-based correspondences with various perceptual and conceptual attributes. The present study reveals two novel pitch-based correspondences with highly abstract concepts. Three experiments with varying levels of implicitness of the association task showed that the concepts of future and in are associated with high-pitch sounds, while past and out are associated with low-pitch sounds.
View Article and Find Full Text PDFWant AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!