EEG Topographical Representation of the public dataset 2008 BCI competition IV-2a

Main Author: Xu, Meiyan
Format: Dataset
Terbitan: Mendeley , 2019
Subjects:
Online Access: https:/data.mendeley.com/datasets/45tt56w2sz
ctrlnum 0.17632-45tt56w2sz.4
fullrecord <?xml version="1.0"?> <dc><creator>Xu, Meiyan</creator><title>EEG Topographical Representation of the public dataset 2008 BCI competition IV-2a</title><publisher>Mendeley</publisher><description>This data set is for the paper of Learning EEG Topographical Representation for Classification via Convolutional Neural Network, providing part of the experimental results and running procedures. To run the sample code provided, please unzip the zip file into a folder of the same name, and then run the code.</description><subject>Electroencephalography</subject><type>Other:Dataset</type><identifier>10.17632/45tt56w2sz.4</identifier><rights>Creative Commons Attribution 4.0 International</rights><rights>http://creativecommons.org/licenses/by/4.0</rights><relation>https:/data.mendeley.com/datasets/45tt56w2sz</relation><date>2019-12-05T08:40:27Z</date><recordID>0.17632-45tt56w2sz.4</recordID></dc>
format Other:Dataset
Other
author Xu, Meiyan
title EEG Topographical Representation of the public dataset 2008 BCI competition IV-2a
publisher Mendeley
publishDate 2019
topic Electroencephalography
url https:/data.mendeley.com/datasets/45tt56w2sz
contents This data set is for the paper of Learning EEG Topographical Representation for Classification via Convolutional Neural Network, providing part of the experimental results and running procedures. To run the sample code provided, please unzip the zip file into a folder of the same name, and then run the code.
id IOS7969.0.17632-45tt56w2sz.4
institution Universitas Islam Indragiri
affiliation onesearch.perpusnas.go.id
institution_id 804
institution_type library:university
library
library Teknologi Pangan UNISI
library_id 2816
collection Artikel mulono
repository_id 7969
city INDRAGIRI HILIR
province RIAU
shared_to_ipusnas_str 1
repoId IOS7969
first_indexed 2020-04-08T08:16:37Z
last_indexed 2020-04-08T08:16:37Z
recordtype dc
_version_ 1686587415851958272
score 17.538404