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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: http://hdl.handle.net/21.11116/0000-0004-F77D-A Version Permalink: http://hdl.handle.net/21.11116/0000-0005-BB76-4
Genre: Poster

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 Creators:
Izyurov, I, Author
Krylova, M, Author              
Alizadeh, S, Author              
Jamalabadi, H, Author              
Li, M1, 2, Author              
Walter, M1, 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: 2019-11
 Publication Status: Published online
 Pages: -
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 Table of Contents: -
 Rev. Type: -
 Identifiers: -
 Degree: -

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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: -