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A framework for offline evaluation and optimization of re... | ResearchHub
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A framework for offline evaluation and optimization of real-time algorithms for use in neurofeedback, demonstrated on an instantaneous proxy for correlations
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Authors
Michal Ramot
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Michal Ramot
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Javier González-Castillo
Published
June 20, 2018
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Preprint Server
Topics
Biology
Machine Learning
Computer Science
Neuroscience
Artificial Intelligence
Show all topics
DOI
10.1101/351072
License
CC-BY-NC-ND
Other Formats
PDF
Supporters
Support the authors with ResearchCoin
Tip RSC
Preprint Server
Topics
Biology
Machine Learning
Computer Science
Neuroscience
Artificial Intelligence
Show all topics
DOI
10.1101/351072
License
CC-BY-NC-ND
Other Formats
PDF