Home
Catalogue search
Refine your search:
Keyword:
Elektroenzephalographie (232)
Electroencephalography (218)
Humans (141)
Male (122)
Female (120)
Sprachproduktion / Sprachperzeption (neuroling.) (106)
Evoked Potentials (90)
Adult (83)
Kortikales Aktivierungsmuster (76)
Speech Perception (56)
more
Creator / Publisher:
Brunellière, Angèle (8)
Aix Marseille Université (AMU)-Centre National de la Recherche Scientifique (CNRS) (7)
Deonna, T. (7)
Bekinschtein, Tristan (6)
Hagoort, Peter (6)
Macquarie University. Department of Linguistics (6)
Marslen-Wilson, William (6)
Pulvermüller, Friedemann (6)
Shtyrov, Yury (6)
The Pennsylvania State University CiteSeerX Archives (6)
more
Year:
2022 (9)
2021 (12)
2020 (19)
2019 (31)
2018 (26)
2017 (13)
2016 (23)
2015 (22)
2014 (7)
2013 (20)
more
Medium
Type
BLLDB-Access
Search in the Catalogues and Directories
All fields
Title
Creator / Publisher
Keyword
Year
AND
OR
AND NOT
All fields
Title
Creator / Publisher
Keyword
Year
AND
OR
AND NOT
All fields
Title
Creator / Publisher
Keyword
Year
AND
OR
AND NOT
All fields
Title
Creator / Publisher
Keyword
Year
AND
OR
AND NOT
All fields
Title
Creator / Publisher
Keyword
Year
Sort by
creator [A → Z]
'
creator [Z → A]
'
publishing year ↑ (asc)
'
publishing year ↓ (desc)
'
title [A → Z]
'
title [Z → A]
'
Simple Search
Page:
1
2
3
4
5
...
28
Hits 1 – 20 of 545
1
Dynamic functional brain network connectivity during pseudoword processing relates to children’s reading skill
Panda, Erin J.
;
Valiante, Taufik A.
;
Pang, Elizabeth W.
. - : Elsevier, 2022
BASE
Show details
2
Computational Models in Electroencephalography.
Glomb, Katharina
;
Cabral, Joana
;
Cattani, Anna
...
In: Brain topography, vol 35, iss 1 (2022)
BASE
Show details
3
Functional Brain Networks and Verbal Fluency in Healthy Ageing ...
Oosterhuis, Elise
. - : Open Science Framework, 2022
BASE
Show details
4
Unified Coding of Spectral and Temporal Phonetic Cues: Electrophysiological Evidence for Abstract Phonological Features ...
Monahan, Philip
. - : Open Science Framework, 2022
BASE
Show details
5
A Preliminary Report of Network Electroencephalographic Measures in Primary Progressive Apraxia of Speech and Aphasia
Rene L. Utianski; Hugo Botha; John N. Caviness; Gregory A. Worrell; Joseph R. Duffy; Heather M. Clark; Jennifer L. Whitwell; Keith A. Josephs
In: Brain Sciences; Volume 12; Issue 3; Pages: 378 (2022)
BASE
Show details
6
Spectral Entropy Monitoring Accelerates the Emergence from Sevoflurane Anesthesia in Thoracic Surgery: A Randomized Controlled Trial
Jui-Tai Chen; Yu-Ming Wu; Tung-Yu Tiong; Juan P. Cata; Kuang-Tai Kuo; Chun-Cheng Li; Hsin-Yi Liu; Yih-Giun Cherng; Hsiang-Ling Wu; Ying-Hsuan Tai
In: Journal of Clinical Medicine; Volume 11; Issue 6; Pages: 1631 (2022)
BASE
Show details
7
Simultaneous Classification of Both Mental Workload and Stress Level Suitable for an Online Passive Brain–Computer Interface
Mahsa Bagheri; Sarah D. Power
In: Sensors; Volume 22; Issue 2; Pages: 535 (2022)
BASE
Show details
8
Rethinking the Methods and Algorithms for Inner Speech Decoding and Making Them Reproducible
Foteini Simistira Liwicki; Vibha Gupta; Rajkumar Saini; Kanjar De; Marcus Liwicki
In: NeuroSci; Volume 3; Issue 2; Pages: 226-244 (2022)
BASE
Show details
9
Unified Coding of Spectral and Temporal Phonetic Cues: Electrophysiological Evidence for Abstract Phonological Features
Monahan, Philip J.
;
Schertz, Jessamyn
;
Fu, Zhanao
. - : University of Toronto, 2022
BASE
Show details
10
A dimension reduction technique applied to regression on high dimension, low sample size neurophysiological data sets
Santana, Adrielle,
;
Barbosa, Adriano,
;
Yehia, Hani,
...
In: ISSN: 1471-2202 ; EISSN: 1471-2202 ; BMC Neuroscience ; https://hal.univ-grenoble-alpes.fr/hal-03374818 ; BMC Neuroscience, BioMed Central, 2021, 22 (1), ⟨10.1186/s12868-020-00605-0⟩ (2021)
BASE
Show details
11
Somatosensory contribution to audio-visual speech processing
Ito, Takayuki
;
Ohashi, Hiroki
;
Gracco, Vincent
In: ISSN: 0010-9452 ; Cortex ; https://hal.archives-ouvertes.fr/hal-03320604 ; Cortex, Elsevier, 2021, 143, pp.195-204. ⟨10.1016/j.cortex.2021.07.013⟩ ; https://doi.org/10.1016/j.cortex.2021.07.013 (2021)
BASE
Show details
12
An ERP index of real-time error correction within a noisy-channel framework of human communication.
Ryskin, Rachel
;
Stearns, Laura
;
Bergen, Leon
. - : eScholarship, University of California, 2021
BASE
Show details
13
Good Scientific Practice in MEEG Research: Progress and Perspectives
Niso, Guiomar
;
Krol, Laurens
;
Combrisson, Etienne
...
In: https://hal.archives-ouvertes.fr/hal-03494100 ; 2021 (2021)
BASE
Show details
14
Modality switch effects emerge early and increase throughout conceptual processing: Evidence from ERPs ...
Bernabeu, Pablo
. - : Open Science Framework, 2021
BASE
Show details
15
Human processing of transmitted speech varying in perceived quality ... : Menschliche Verarbeitung von technisch übertragener Sprache in unterschiedlich wahrgenommener Qualität ...
Uhrig, Stefan Josef
. - : Technische Universität Berlin, 2021
BASE
Show details
16
Sustained neural rhythms reveal endogenous oscillations supporting speech perception. ...
Van Bree, Sander
;
Sohoglu, Ediz
;
Davis, Matt
. - : Apollo - University of Cambridge Repository, 2021
BASE
Show details
17
Application of Machine Learning to Electroencephalography for the Diagnosis of Primary Progressive Aphasia: A Pilot Study
Lucía Fernández-Romero
;
Adela Fraile-Pereda
;
Paloma Balugo
...
In: Brain Sciences ; Volume 11 ; Issue 10 (2021)
BASE
Show details
18
Testing Low-Frequency Neural Activity in Sentence Understanding ...
Lo, Chia-Wen
. - : My University, 2021
BASE
Show details
19
ВОЗДЕЙСТВИЕ ТЕХНОЛОГИЙ ВИРТУАЛЬНОЙ РЕАЛЬНОСТИ НА ПСИХОЭМОЦИОНАЛЬНОЕ СОСТОЯНИЕ ПАЦИЕНТОВ С АФАЗИЯМИ ... : The impact of virtual reality on the emotional state of patients with aphasia ...
Карпов, О.Э.
;
Даминов, В.Д.
;
Новак, Э.В.
. - : Фонд развития современных и цифровых технологий, 2021
BASE
Show details
20
Testing Low-Frequency Neural Activity in Sentence Understanding
Lo, Chia-Wen
. - 2021
Abstract:
Human language has the unique characteristic where we can create infinite and novel phrases or sentences; this stems from the ability of composition, which allows us to combine smaller units into bigger meaningful units. Composition involves us following syntactic rules stored in memory and building well-formed structures incrementally. Research has shown that neural circuits can be associated with cognitive faculties such as memory and language and there is evidence indicating where and when the neural indices of the processing of composition are. However, it is not yet clear "how" neural circuits actually implement compositional processes. This dissertation aims to probe "how" composition of meaning is represented by neural circuits by investigating the role of low-frequency neural activity in carrying out composition. Neuroelectric signals were recorded with Electroencephalography (EEG) to examine the functional interpretation of low-frequency neural activity in the so-called delta band of 0.5 to 3 Hz. Activities in this band have been associated with the processing of syntactic structures (Ding et al. 2016). First, whether these activities are indeed associated with hierarchy remains under debate. This dissertation uses a novel condition in which the same words are presented, but their order is changed to remove the syntactic structure. Only entrainment with syllables was found in this "reversed" condition, supporting the hypothesis that neural activities in the delta band entrain to abstract syntactic structures. Second, we test the timing for language users to combine words and comprehend sentences. How comprehension correlates with this low-frequency neural activity and whether it represents endogenous neural response or evoked response remains unclear. This dissertation manipulates the length of syllables and regularity between syllables to test the hypotheses. The results support the view that this neural activity reflects endogenous response and suggest that it reflects top-down processing. Third, what semantic information modulates this low-frequency neural activity is unknown. This dissertation examines several semantic variables typically associated with different aspects of semantic processing. The stimuli are created by varying the statistical association between words, world knowledge, and the conceptual results of semantic composition. The current results suggest that low-frequency neural activity is not driven by semantic processing. Based on the above findings, we propose that neural activities in the delta band reflect top-down predictive processing that involves syntactic information directly but not semantic information. ; PHD ; Linguistics ; University of Michigan, Horace H. Rackham School of Graduate Studies ; http://deepblue.lib.umich.edu/bitstream/2027.42/169907/1/chiawenl_1.pdf
Keyword:
Electroencephalography (EEG)
;
Humanities
;
Language comprehension
;
Linguistics
;
Neural entrainment
;
Semantics
;
Syntax
;
Temporal dynamics
URL:
https://doi.org/10.7302/2952
https://hdl.handle.net/2027.42/169907
BASE
Hide details
Page:
1
2
3
4
5
...
28
Mobile view
All
Catalogues
UB Frankfurt Linguistik
18
IDS Mannheim
0
OLC Linguistik
115
UB Frankfurt Retrokatalog
0
DNB Subject Category Language
0
Institut für Empirische Sprachwissenschaft
0
Leibniz-Centre General Linguistics (ZAS)
0
Bibliographies
BLLDB
226
BDSL
0
IDS Bibliografie zur deutschen Grammatik
0
IDS Bibliografie zur Gesprächsforschung
0
IDS Konnektoren im Deutschen
0
IDS Präpositionen im Deutschen
0
IDS OBELEX meta
0
MPI-SHH Linguistics Collection
0
MPI for Psycholinguistics
6
Linked Open Data catalogues
Annohub
0
Online resources
Link directory
0
Journal directory
0
Database directory
0
Dictionary directory
0
Open access documents
BASE
313
Linguistik-Repository
0
IDS Publikationsserver
0
Online dissertations
0
Language Description Heritage
0
© 2013 - 2024 Lin|gu|is|tik
|
Imprint
|
Privacy Policy
|
Datenschutzeinstellungen ändern