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61
Fourâ dimensional functional cortical maps of visual and auditory language: Intracranial recording
Nakai, Yasuo; Asano, Eishi; Sood, Sandeep. - : Wiley Periodicals, Inc., 2019
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62
Unitization modulates recognition of within-domain and cross-domain associations: Evidence from event-related potentials.
Li, Bingcan; Han, Meng; Guo, Chunyan. - : Wiley, 2019. : Psychophysiology, 2019
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63
Neural Signal to Violations of Abstract Rules Using Speech-Like Stimuli.
Vidal, Yamil; Brusini, Perrine; Bonfieni, Michela. - : Society for Neuroscience, 2019. : eNeuro, 2019
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64
Neural dynamics of semantic composition.
Lyu, Bingjiang; Choi, Hun S; Marslen-Wilson, William. - : Proceedings of the National Academy of Sciences, 2019. : Proc Natl Acad Sci U S A, 2019
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65
Bilingualism and language similarity modify the neural mechanisms of selective attention.
Olguin, Andrea; Cekic, Mario; Bekinschtein, Tristan. - : Springer Science and Business Media LLC, 2019. : Sci Rep, 2019
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66
Balancing Prediction and Sensory Input in Speech Comprehension: The Spatiotemporal Dynamics of Word Recognition in Context.
Klimovich-Gray, Anastasia; Tyler, Lorraine; Randall, Billi. - : Society for Neuroscience, 2019. : J Neurosci, 2019
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67
Neural Encoding of Continuous Attended Speech in Monolingual and Bilingual Listeners
Olguin Chau, Andrea Katerina. - : University of Cambridge, 2019. : Psychology, 2019. : Downing College, 2019
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68
Phonological Task Enhances the Frequency-Following Response to Deviant Task-Irrelevant Speech Sounds
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69
The neural representation of simultaneous speech and music
Lowery, Mary. - 2019
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70
An Electrophysiological Investigation of Embodied Language Processing
Feven-Parsons, Isabel Marijana. - : University of Plymouth, 2019
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71
THE ACOUSTIC QUALITIES THAT INFLUENCE AUDITORY OBJECT AND EVENT RECOGNITION
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72
Peak alpha frequency is a neural marker of cognitive function across the autism spectrum.
In: The European journal of neuroscience, vol 47, iss 6 (2018)
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73
Peak alpha frequency is a neural marker of cognitive function across the autism spectrum
In: Dickinson, A; DiStefano, C; Senturk, D; & Jeste, SS. (2018). Peak alpha frequency is a neural marker of cognitive function across the autism spectrum. EUROPEAN JOURNAL OF NEUROSCIENCE, 47(6), 643 - 651. doi:10.1111/ejn.13645. UCLA: Retrieved from: http://www.escholarship.org/uc/item/27w8p60c (2018)
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74
The Relative Contribution of High-Gamma Linguistic Processing Stages of Word Production, and Motor Imagery of Articulation in Class Separability of Covert Speech tasks in EEG data ...
Jahangiri, Amir. - : Mendeley, 2018
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75
The Relative Contribution of High-Gamma Linguistic Processing Stages of Word Production, and Motor Imagery of Articulation in Class Separability of Covert Speech tasks in EEG data ...
Jahangiri, Amir. - : Mendeley, 2018
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76
The Relative Contribution of High-Gamma Linguistic Processing Stages of Word Production, and Motor Imagery of Articulation in Class Separability of Covert Speech tasks in EEG data ...
Jahangiri, Amir. - : Mendeley, 2018
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77
Neuroplasticity of word learning ...
Rossi, Sonja. - : Humboldt-Universität zu Berlin, 2018
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78
Investigating Skilled Reading in School-Aged Children: An EEG Study
Beck, Lisa. - 2018
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79
Data for: What do you know? ERP evidence for immediate use of common ground during online reference resolution ...
Sikos, Les. - : Mendeley, 2018
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80
Data for: What do you know? ERP evidence for immediate use of common ground during online reference resolution ...
Sikos, Les. - : Mendeley, 2018
Abstract: Description of data from the article “What do you know? ERP evidence for immediate use of common ground during online reference resolution”, by Sikos, Tomlinson, Heins, and Grodner. Repository: Mendeley Data The zipped folder DATA.zip contains pre-processed behavioral and electrophysiological data for the final 50 participants (see Methods for exclusion and outlier removal criteria). ---------------- Behavioral data ---------------- All behavioral data are gathered into a single tab-delimited document. Variable names are self-explanatory. --------- ERP data --------- A. for_cluster_analyses Five separate tab-delimited files are provided for each participant (e.g., s2_CG-NO.txt). Each file contains data capturing the voltage difference (μV) between two conditions (e.g., CGC minus NoC) during the -200 to 1600 ms epoch for that particular subject (e.g., s2). Rows correspond to time points. Columns correspond to electrode channels: E1 = F10 E2 = AF4 E3 = F2 E4 = FCZ E5 = FP2 E6 = FZ E7 = FC1 E8 = AFZ E9 = F1 E10 ...
Keyword: Cognition; Cognitive Science; Electroencephalography; FOS Languages and literature; Linguistics; Psycholinguistics
URL: https://dx.doi.org/10.17632/c8md2mbcsz.1
https://data.mendeley.com/datasets/c8md2mbcsz/1
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