Get a new perspective on EEG: Convolutional neural network encoders for parametric t-SNE
Get a new perspective on EEG: Convolutional neural network encoders for parametric t-SNE
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Cold Spring Harbor: Cold Spring Harbor Laboratory Press
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English
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Cold Spring Harbor: Cold Spring Harbor Laboratory Press
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Background: t-distributed stochastic neighbor embedding (t-SNE) is a method for reducing high-dimensional data to a low-dimensional representation and is mostly used for visualizing data. In parametric t-SNE, a neural network learns to reproduce this mapping. When used for EEG analysis, the data is usually first transformed into a set of features,...
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Get a new perspective on EEG: Convolutional neural network encoders for parametric t-SNE
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TN_cdi_proquest_journals_2748621051
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https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2748621051
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E-ISSN
2692-8205
DOI
10.1101/2022.12.08.519691
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https://www.proquest.com/docview/2748621051?pq-origsite=primo&accountid=13902
