Results 31 to 40 of about 211,639 (296)

Detection of deviance in Japanese kanji compound words

Frontiers in Human Neuroscience, 2022
Reading fluency is based on the automatic visual recognition of words. As a manifestation of the automatic processing of words, an automatic deviance detection of visual word stimuli can be observed in the early stages of visual recognition.
Yuka Egashira, Yoshimi Kaga, Yoshimi Kaga, Atsuko Gunji, Atsuko Gunji, Atsuko Gunji, Yosuke Kita, Yosuke Kita, Motohiro Kimura, Naruhito Hironaga, Hiroshige Takeichi, Hiroshige Takeichi, Sayuri Hayashi, Yuu Kaneko, Hidetoshi Takahashi, Hidetoshi Takahashi, Takashi Hanakawa, Takashi Hanakawa, Takashi Okada, Masumi Inagaki, Masumi Inagaki   +20 more
doaj   +1 more source

Lexical processing across the visual field.

Journal of Experimental Psychology: Human Perception and Performance, 2022
This article reports six experiments in which participants made speeded binary decisions about letter strings that were displayed for 100 vs. 300 ms at different retinal eccentricities in the left vs. right visual field to examine how these variables and task demands influence word-identification accuracy and latency.
Aaron Veldre, Erik Reichle, Lili Yu, Sally Andrews   +3 more
openaire   +2 more sources

Automatic vigilance for negative words in lexical decision and naming : comment on Larsen, Mercer, and Balota (2006) [PDF]

, 2008
An automatic vigilance hypothesis states that humans preferentially attend to negative stimuli, and this attention to negative valence disrupts the processing of other stimulus properties.
Adelman, James S., Estes, Zachary
core   +1 more source

How strongly do word reading times and lexical decision times correlate? Combining data from eye movement corpora and megastudies

, 2013
We assess the amount of shared variance between three measures of visual word recognition latencies: eye movement latencies, lexical decision times and naming times. After partialling out the effects of word frequency and word length, two well-documented
Baayen R.H., Balota D.A., Balota D.A., Binder K.S., Britt M.A., Brysbaert M., Brysbaert M., Brysbaert M., Coltheart M., Dambacher M., Drieghe D., Ferrand L., Forster K., Gibbs P., Inhoff A.W., Just M.A., Kennedy A., Keuleers E., Keuleers E., Kinoshita S., Kliegl R., Kuperman V., Kuperman V., Murray W.S., Murray W.S., New B., Radach R., Rayner K., Rayner K., Rayner K., Reichle E.D., Schilling H.E. H., Wotschak C.   +32 more
core   +1 more source

Bilingual word recognition in a sentence context [PDF]

, 2012
This article provides an overview of bilingualism research on visual word recognition in isolation and in sentence context. Many studies investigating the processing of words out-of-context have shown that lexical representations from both languages are ...
Duyck, Wouter, Hartsuiker, Robert, Van Assche, Eva   +2 more
core   +4 more sources

Eye-tracking multi-word units: some methodological questions

Journal of Eye Movement Research, 2015
Eye-tracking in linguistics has focused mainly on reading at the level of the word or sentence. In this paper we discuss how the phenomenon of formulaic language might best be examined using this methodology.
Gareth Carrol, Kathy Conklin
doaj   +1 more source

Information Transmission Strategies for Self‐Organized Robotic Aggregation

Advanced Robotics Research, EarlyView.
In this review, we discuss how information transmission influences the neighbor‐based self‐organized aggregation of swarm robots. We focus specifically on local interactions regarding information transfer and categorize previous studies based on the functions of the information exchanged.
Shu Leng, Zihan Li, Yifeng Shao, Jinhao Liu, Li Yu, Shuguang Li   +5 more
wiley   +1 more source

Contribution and functional connectivity between cerebrum and cerebellum on sub-lexical and lexical-semantic processing of verbs.

PLoS ONE, 2023
Language comprehension involves both sub-lexical (e.g., phonological) and lexical-semantic processing. We conducted a task using functional magnetic resonance imaging (fMRI) to compare the processing of verbs in these two domains.
Azalea Reyes-Aguilar, Giovanna Licea-Haquet, Brenda I Arce, Magda Giordano   +3 more
doaj   +1 more source

Machine‐Learning Decomposition Identifies a Big Two Structure in Human Personality with Distinct Neurocognitive Profiles

Advanced Science, EarlyView.
Using machine learning on a mega‐scale global dataset (n = 1,336,840) reveals a robust personality trait architecture beyond the Big Five. A Big Two model, broadly capturing social engagement and internal mentation, defines a geometric space that links personality to neurocognitive profiles.
Kaixiang Zhuang, Ji Chen, Jinfeng Han, Wei Cheng, Jiang Qiu, Jianfeng Feng, Simon Eickhoff, Deniz Vatansever   +7 more
wiley   +1 more source

Phonological (un)certainty weights lexical activation

, 2017
Spoken word recognition involves at least two basic computations. First is matching acoustic input to phonological categories (e.g. /b/, /p/, /d/). Second is activating words consistent with those phonological categories. Here we test the hypothesis that
Gwilliams, Laura, Linzen, Tal, Marantz, Alec, Poeppel, David   +3 more
core   +1 more source