Implementing dynamic time warping algorithm for estimation training performance 
in fMRI neurofeedback

Izyurov, I; Krylova, M; Alizadeh, S; Jamalabadi, H; Li, M; Walter, M

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Implementing dynamic time warping algorithm for estimation training performance in fMRI neurofeedback

Izyurov, I., Krylova, M., Alizadeh, S., Jamalabadi, H., Li, M., & Walter, M. (2019). Implementing dynamic time warping algorithm for estimation training performance in fMRI neurofeedback. Poster presented at 20th Conference of Junior Neuroscientists (NeNa 2019), Schramberg, Germany.

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Item Permalink: https://hdl.handle.net/21.11116/0000-0004-F77D-A Version Permalink: https://hdl.handle.net/21.11116/0000-0005-BB76-4

Genre: Poster

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https://nenaconference.files.wordpress.com/2019/10/abstractbook_nena2019.pdf (Abstract) Open Access status unknown

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Creators:
Izyurov, I, Author
Krylova, M, Author
Alizadeh, S, Author
Jamalabadi, H, Author
Li, M^{1, 2}, Author
Walter, M^{1, 2}, Author

Affiliations:
1Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497794
2Department High-Field Magnetic Resonance, Max Planck Institute for Biological Cybernetics, Max Planck Society, ou_1497796

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Dates: Published Online: 2019-11

Publication Status: Published online

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Title: 20th Conference of Junior Neuroscientists (NeNa 2019)

Place of Event: Schramberg, Germany

Start-/End Date: 2019-11-04 - 2019-11-06

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Title: 20th Conference of Junior Neuroscientists (NeNa 2019)

Source Genre: Proceedings

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Pages: - Volume / Issue: - Sequence Number: P13 Start / End Page: 31 Identifier: -