Author

Hanna-Leena Halme

Aalto UniversityORCID 0000-0003-2315-5745Unclaimed ORCID profile · follow to get notified of new preprints

Biology Disciplines

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Neuroscience· 1

Signature Assays, Organisms & Methods

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Research Focus:benchmarking· 1 Assay:electronic health records· 1 Approach:statistical model· 1

Frequent Co-Authors

Lauri T. ParkkoneniD· 1 shared

Activity by Year

2018-2018 · peak 1/yr

1 paper

Recent·Most cited

NeuroscienceScientific ReportsPeer-reviewedJun 28, 2018

Across-subject offline decoding of motor imagery from MEG and EEG

Hanna-Leena Halme, Lauri T. Parkkonen

This study compares methods for inter-subject decoding of motor imagery from MEG and EEG, finding that multi-task learning with logistic regression and l2,1-norm regularization achieves the best accuracy when trained on motor imagery data.

46 citations

electronic health recordsstatistical model

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