Neuroscientifically motivated novel decoding methods for multichannel electromyographic and magnetoencephalographic signals
Main funder
Funder's project number: 286019
Funds granted by main funder (€)
- 270 333,00
Funding program
Project timetable
Project start date: 01/09/2015
Project end date: 31/08/2018
Principal Investigator
Primary responsible unit
Related publications and other outputs
- New Machine Learning Approach for Detection of Injury Risk Factors in Young Team Sport Athletes (2021) Jauhiainen, Susanne; et al.; A1; OA
- Time-resolved classification of dog brain signals reveals early processing of faces, species and emotion (2020) Kujala, Miiamaaria V.; et al.; A1; OA
- Inter-subject correlation of temporoparietal junction activity is associated with conflict patterns during flexible decision-making (2019) Tei, Shisei; et al.; A1
- Talent identification in soccer using a one-class support vector machine (2019) Jauhiainen, S.; et al.; A1; OA
- Functional Brain Segmentation Using Inter-Subject Correlation in fMRI (2017) Kauppi, Jukka-Pekka; et al.; A1; OA
