Author

Hanna Kataja

Aalto University

Listed by name: these papers carry no ORCID for this author, so different people with the same name may be mixed together.

Biology Disciplines

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Neuroscience· 2

Signature Assays, Organisms & Methods

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Assay:electronic health records· 2 Organism:human· 2 Approach:machine learning (classical)· 2 Research Focus:benchmarking· 1

Frequent Co-Authors

Dovilė KurmanavičiūtėiD· 2 shared Lauri T. ParkkoneniD· 2 shared Anne Välilä· 1 shared Mainak JasiD· 1 shared

Activity by Year

2023-2025 · peak 1/yr

Co-Author Collaboration Network

4 top collaborators · 6 mutual co-author links

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2 shared papersNeuroscience

Dovilė KurmanavičiūtėORCID

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2 papers

Recent·Most cited

NeurosciencePLoS ONEPeer-reviewedApr 10, 2025

Comparing MEG and EEG measurement set-ups for a brain--computer interface based on selective auditory attention

Dovilė Kurmanavičiūtė, Hanna Kataja, Lauri T. Parkkonen

The paper compares MEG and EEG for auditory attention-based brain-computer interfaces, finding that EEG with optimal channel placement can achieve comparable performance to MEG.

3 citations

humanelectronic health records

𝕏 PostBluesky

NeuroscienceScientific ReportsPeer-reviewedJul 6, 2023

Target of selective auditory attention can be robustly followed with MEG

Dovilė Kurmanavičiūtė, Hanna Kataja, Mainak Jas…·Lauri T. Parkkonen

The paper demonstrates that selective auditory attention can be reliably detected in unaveraged MEG responses with high accuracy using support vector machine classification.

9 citations

humanelectronic health records

𝕏 PostBluesky