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Jukka-Pekka Kauppi

Showing results (1-10 of 21) with videos related to

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Plos One|August 28, 2012
Inter-subject correlation in fMRI: method validation against stimulus-model based analysisJuha Pajula, Jukka-Pekka Kauppi, Jussi Tohka
Neural Networks : the Official Journal of the International Neural Network Society|August 6, 2010
Hierarchical classification of dynamically varying radar pulse repetition interval modulation patternsJukka-Pekka Kauppi, Kalle Martikainen, Ulla Ruotsalainen
Frontiers in Neuroinformatics|February 20, 2014
A versatile software package for inter-subject correlation based analyses of fMRIJukka-Pekka Kauppi, Juha Pajula, Jussi Tohka
Neuroimage|July 23, 2013
Decoding magnetoencephalographic rhythmic activity using spectrospatial informationJukka-Pekka Kauppi, Lauri Parkkonen, Riitta Hari, et al.
Frontiers in Neuroinformatics|April 30, 2010
Inter-subject correlation of brain hemodynamic responses during watching a movie: localization in space and frequencyJukka-Pekka Kauppi, Iiro P Jääskeläinen, Mikko Sams, et al.
Plos One|June 4, 2015
Three-way analysis of spectrospatial electromyography data: classification and interpretationJukka-Pekka Kauppi, Janne Hahne, Klaus-Robert Müller, et al.
JMIR Human Factors|July 2, 2026
Monitoring Health Status: Development and Preliminary Validation of a Personal Health Index Using the International Classification of Functioning, Disability and HealthIlkka Rautiainen, Lauri Parviainen, Veera Jakoaho, et al.
Human Brain Mapping|March 16, 2017
Functional brain segmentation using inter-subject correlation in fMRIJukka-Pekka Kauppi, Juha Pajula, Jari Niemi, et al.
Cortex; a Journal Devoted to the Study of the Nervous System and Behavior|August 24, 2015
Differences in fMRI intersubject correlation while viewing unedited and edited videos of dance performanceAleksandra Herbec, Jukka-Pekka Kauppi, Corinne Jola, et al.
Scandinavian Journal of Medicine & Science in Sports|January 5, 2020
A hierarchical cluster analysis to determine whether injured runners exhibit similar kinematic gait patternsSusanne Jauhiainen, Andrew J Pohl, Sami Äyrämö, et al.
Pageof 3

Showing results (1-10 of 21) with videos related to

Sort By:
Pageof 3
Plos One|August 28, 2012
Inter-subject correlation in fMRI: method validation against stimulus-model based analysisJuha Pajula, Jukka-Pekka Kauppi, Jussi Tohka
Neural Networks : the Official Journal of the International Neural Network Society|August 6, 2010
Hierarchical classification of dynamically varying radar pulse repetition interval modulation patternsJukka-Pekka Kauppi, Kalle Martikainen, Ulla Ruotsalainen
Frontiers in Neuroinformatics|February 20, 2014
A versatile software package for inter-subject correlation based analyses of fMRIJukka-Pekka Kauppi, Juha Pajula, Jussi Tohka
Neuroimage|July 23, 2013
Decoding magnetoencephalographic rhythmic activity using spectrospatial informationJukka-Pekka Kauppi, Lauri Parkkonen, Riitta Hari, et al.
Frontiers in Neuroinformatics|April 30, 2010
Inter-subject correlation of brain hemodynamic responses during watching a movie: localization in space and frequencyJukka-Pekka Kauppi, Iiro P Jääskeläinen, Mikko Sams, et al.
Plos One|June 4, 2015
Three-way analysis of spectrospatial electromyography data: classification and interpretationJukka-Pekka Kauppi, Janne Hahne, Klaus-Robert Müller, et al.
JMIR Human Factors|July 2, 2026
Monitoring Health Status: Development and Preliminary Validation of a Personal Health Index Using the International Classification of Functioning, Disability and HealthIlkka Rautiainen, Lauri Parviainen, Veera Jakoaho, et al.
Human Brain Mapping|March 16, 2017
Functional brain segmentation using inter-subject correlation in fMRIJukka-Pekka Kauppi, Juha Pajula, Jari Niemi, et al.
Cortex; a Journal Devoted to the Study of the Nervous System and Behavior|August 24, 2015
Differences in fMRI intersubject correlation while viewing unedited and edited videos of dance performanceAleksandra Herbec, Jukka-Pekka Kauppi, Corinne Jola, et al.
Scandinavian Journal of Medicine & Science in Sports|January 5, 2020
A hierarchical cluster analysis to determine whether injured runners exhibit similar kinematic gait patternsSusanne Jauhiainen, Andrew J Pohl, Sami Äyrämö, et al.
Pageof 3