Results 31 to 40 of about 601,573 (280)
Frontiers in Psychology, 2019 Evidence from behavior, computational linguistics, and neuroscience studies supported that semantic knowledge is represented in (at least) two semantic systems (i.e., taxonomic and thematic systems).
Pingping Xu +8 more
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Reliability of Visual-World Eyetracking for Lexical and Sentence Comprehension Tasks
Frontiers in Psychology, 2014 Introduction Relatively little is known about the processing changes that support treatment-induced recovery in aphasia. Visual-world eyetracking has been used to detail language processing deficits in aphasia (Meyer, Mack, & Thompson, 2012; Mirman, Yee,
Jennifer E. Mack +2 more
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Frontiers in Psychology, 2021 We investigated the effects of everyday language exposure on the prediction of orthographic and phonological forms of a highly predictable word during listening comprehension.
Aine Ito, Hiromu Sakai
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Hierarchical Event Descriptors (HED): Semi-Structured Tagging for Real-World Events in Large-Scale EEG. [PDF]
, 2016 Real-world brain imaging by EEG requires accurate annotation of complex subject-environment interactions in event-rich tasks and paradigms. This paper describes the evolution of the Hierarchical Event Descriptor (HED) system for systematically describing
Bigdely-Shamlo, Nima +6 more
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On-line processing of English which-questions by children and adults: a visual world paradigm study [PDF]
, 2018 Previous research has shown that children demonstrate similar sentence processing reflexes to those observed in adults, but they have difficulties revising an erroneous initial interpretation when they process garden-path sentences, passives, and wh ...
Baayen +12 more
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Analysing data from the psycholinguistic visual-world paradigm
, 2022 Peer ...
Ito, Aine, Knoeferle, Pia
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To dash or to dawdle: verb-associated speed of motion influences eye movements during spoken sentence comprehension [PDF]
, 2013 In describing motion events verbs of manner provide information about the speed of agents or objects in those events. We used eye tracking to investigate how inferences about this verb-associated speed of motion would influence the time course of ...
AM Fecica +27 more
core +8 more sources
, 2015 The dominant paradigm for feature learning in computer vision relies on training neural networks for the task of object recognition using millions of hand labelled images.
Agrawal, Pulkit +2 more
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Embodied virtual reality for the study of real-world motor learning.
PLoS ONE, 2021 Motor-learning literature focuses on simple laboratory-tasks due to their controlled manner and the ease to apply manipulations to induce learning and adaptation. Recently, we introduced a billiards paradigm and demonstrated the feasibility of real-world-
Shlomi Haar, Guhan Sundar, A Aldo Faisal
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Incremental Learning for Robot Perception through HRI
, 2017 Scene understanding and object recognition is a difficult to achieve yet crucial skill for robots. Recently, Convolutional Neural Networks (CNN), have shown success in this task.
Jagersand, Martin +2 more
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