Decoding Part-of-Speech with Human electroencephalography (EEG) Signals

Murphy, Alex (2021) Decoding Part-of-Speech with Human electroencephalography (EEG) Signals.

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Dataset Details

Data creator(s):	Creators Email ORCID Murphy, Alex AXM1390@student.bham.ac.uk orcid.org/0000-0001-6155-0514
Research Data Type:	Dataset
DOI:	https://doi.org/10.25500/edata.bham.00000617
Publisher:	University of Birmingham
Funder:	Biotechnology and Biological Sciences Research Council
Keywords:	EEG, Deep Learning, Machine Learning, Part-of-Speech, ERP, Decoding, MVPA, Neurolinguistics, PoS Tagging.
Managing organisational unit:	Colleges (2008 onwards) > College of Life & Environmental Sciences
UoB School, Department or Institute:	School of Psychology
Date:	19 February 2021

Additional Details

Additional Details

Project/Grant:	Who does what to whom? Syntactic Parsing in Man and Machine
Primary language:	English
Collection period:	From To 1 April 2019 29 October 2019
Data collection method:	EEG data acquisition: This data relates to 5.5 iterations of fixed-interval, single-word presentations of a subset of the English Web Treebank Corpus (Bies et al., 2012), released under a Creative Commons Share-Alike license (CC BY-SA 4.0). The EEG data were recorded using 64 Ag/AgCl active actiCAP slim electrodes arranged in a 10–20 layout (ActiCAP, Brain Products GmbH, Gilching, Germany).
Depositing User:	Alex Murphy
Date Deposited:	19 Feb 2021 12:50
Last Modified:	03 Oct 2023 14:48

Available Files

Data

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Read me

EEG Dataset_README.txt EEG Dataset_README.txt EEG Dataset_README.txt Access option: Open File: EEG Dataset_README.txt Content type: ["content_typename_readme" not defined] Metadata Revision: 6 Mime-Type: text/plain Licence: File size: 8kB File checksum: 4d6be9ab8c29340800f0567d96fb2e64

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