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Measuring the Reading-Attention Relationship: Functional Differences in Working Memory Activity During Single Word Decoding in Children With and Without Reading Disorder
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A Review of the Asymmetric Numeral System and Its Applications to Digital Images
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In: Entropy; Volume 24; Issue 3; Pages: 375 (2022)
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Multidimensional Coding of Multimodal Languaging in Multi-Party Settings ...
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Phonological skills and literacy in Dutch beginning readers ...
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Множественная трактовка сложных слов в эквивалентных словосочетаниях ... : Multiple Interpretations of Complex Words in Equivalent Word Combinations ...
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Рязанова, В.А.. - : Государственное автономное образовательное учреждение высшего образования города Москвы «Московский городской педагогический университет», 2022
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Exploring the Neural Correlates of Language Processing in the Psychedelic State ...
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MTS-Stega: Linguistic Steganography Based on Multi-Time-Step
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In: Entropy; Volume 24; Issue 5; Pages: 585 (2022)
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Exploring Measurement through Coding: Children’s Conceptions of a Dynamic Linear Unit with Robot Coding Toys
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In: Education Sciences; Volume 12; Issue 2; Pages: 143 (2022)
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The contributions of phonological awareness and decoding on spelling in isiXhosa Grade 3 readers ...
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Exploring the Representations of Individual Entities in the Brain Combining EEG and Distributional Semantics.
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Abstract:
Semantic knowledge about individual entities (i.e., the referents of proper names such as Jacinta Ardern) is fine-grained, episodic, and strongly social in nature, when compared with knowledge about generic entities (the referents of common nouns such as politician). We investigate the semantic representations of individual entities in the brain; and for the first time we approach this question using both neural data, in the form of newly-acquired EEG data, and distributional models of word meaning, employing them to isolate semantic information regarding individual entities in the brain. We ran two sets of analyses. The first set of analyses is only concerned with the evoked responses to individual entities and their categories. We find that it is possible to classify them according to both their coarse and their fine-grained category at appropriate timepoints, but that it is hard to map representational information learned from individuals to their categories. In the second set of analyses, we learn to decode from evoked responses to distributional word vectors. These results indicate that such a mapping can be learnt successfully: this counts not only as a demonstration that representations of individuals can be discriminated in EEG responses, but also as a first brain-based validation of distributional semantic models as representations of individual entities. Finally, in-depth analyses of the decoder performance provide additional evidence that the referents of proper names and categories have little in common when it comes to their representation in the brain.
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Keyword:
brain decoding; categories; distributional semantics; EEG; individual entities; language models; proper names
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URL: https://doi.org/10.3389/frai.2022.796793 https://qmro.qmul.ac.uk/xmlui/handle/123456789/77431
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Reading Strategy Intervention and Reading Comprehension Success in Bilingual Readers
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In: Electronic Thesis and Dissertation Repository (2022)
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An ERP investigation of transposed-word effects in same-different matching
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In: ISSN: 0028-3932 ; EISSN: 1873-3514 ; Neuropsychologia ; https://hal-amu.archives-ouvertes.fr/hal-03226383 ; Neuropsychologia, Elsevier, 2021, 153, ⟨10.1016/j.neuropsychologia.2021.107753⟩ (2021)
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Das Patristische Textarchiv (PTA) : Kritische Editionen antiker christlicher Texte im 21. Jahrhundert
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The Mapping of Deep Language Models on Brain Responses Primarily Depends on their Performance
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In: https://hal.archives-ouvertes.fr/hal-03361439 ; 2021 (2021)
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Auditory and visual short-term memory: Influence of material type, contour, and musical expertise
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In: ISSN: 0340-0727 ; EISSN: 1430-2772 ; Psychological Research ; https://hal.archives-ouvertes.fr/hal-03384372 ; Psychological Research, Springer Verlag, In press, ⟨10.1007/s00426-021-01519-0⟩ (2021)
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Visual prediction cues can facilitate behavioural and neural speech processing in young and older adults
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In: ISSN: 0028-3932 ; EISSN: 1873-3514 ; Neuropsychologia ; https://hal.archives-ouvertes.fr/hal-03371896 ; Neuropsychologia, Elsevier, 2021, 159, pp.107949. ⟨10.1016/j.neuropsychologia.2021.107949⟩ (2021)
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