Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Mika Seppä"'
Autor:
Robert Boldt, Sanna Malinen, Mika Seppä, Pia Tikka, Petri Savolainen, Riitta Hari, Synnöve Carlson
Publikováno v:
PLoS ONE, Vol 8, Iss 5, p e64489 (2013)
Earlier studies have shown considerable intersubject synchronization of brain activity when subjects watch the same movie or listen to the same story. Here we investigated the across-subjects similarity of brain responses to speech and non-speech sou
Externí odkaz:
https://doaj.org/article/ae4c5ff6d0c14841b1812911efaa1d2a
Publikováno v:
PLoS ONE, Vol 7, Iss 7, p e42000 (2012)
Independent component analysis (ICA) can unravel functional brain networks from functional magnetic resonance imaging (fMRI) data. The number of the estimated components affects both the spatial pattern of the identified networks and their time-cours
Externí odkaz:
https://doaj.org/article/79b213b458d14823af9c91d7b7bbc552
Autor:
Juha Kalliovaara, Tero Jokela, Mehdi Asadi, Amin Majd, Juhani Hallio, Jani Auranen, Mika Seppänen, Ari Putkonen, Juho Koskinen, Tommi Tuomola, Reza Mohammadi Moghaddam, Jarkko Paavola
Publikováno v:
Remote Sensing, Vol 16, Iss 9, p 1545 (2024)
In response to the global megatrends of digitalization and transportation automation, Turku University of Applied Sciences has developed a test platform to advance autonomous maritime operations. This platform includes the unmanned surface vessel eM/
Externí odkaz:
https://doaj.org/article/a3ce5e58f8f649d59b1535ecd2c5fdd7
Autor:
Riitta Hari, Tuula Kieseppä, Jaana Suvisaari, Eva Rikandi, Siina Pamilo, Mika Seppä, Teemu Mäntylä, Tuukka T. Raij
Publikováno v:
Psychological medicine. 47(3)
BackgroundWhile group-level functional alterations have been identified in many brain regions of psychotic patients, multivariate machine-learning methods provide a tool to test whether some of such alterations could be used to differentiate an indiv
Autor:
Mika Seppä
Publikováno v:
Medical Image Analysis. 11:346-360
This paper introduces a simple method of two-stage resampling where Fourier-domain up-sampling is followed by traditional resampling. Practical aspects as well as efficient implementation techniques are considered. A new version of pruned FFT algorit
Publikováno v:
The European journal of neuroscience. 42(9)
We present a simple but effective correlation-based method (maxCorr) for extracting subject-specific components from group-fMRI data. The method finds signal components that correlate maximally with the data set of one subject and minimally with the
Autor:
Teemu Mantyla, Jaana Suvisaari, Siina Pamilo, Mika Seppä, Riitta Hari, Tuukka T. Raij, Eva Rikandi
Publikováno v:
European Neuropsychopharmacology. 25:S320-S321
Autor:
Mika Seppä, R. Hänninen, Oili Salonen, Nina Forss, Timo Mäkinen, Veikko Jousmäki, Riitta Hari
Publikováno v:
Neuroscience Letters. 240:131-134
We describe patient E.P. who occasionally perceives a 'ghost' hand which copies the previous positions of the left hand with a 0.5-1 min time lag, but follows the movement patterns of the right hand. The symptoms started after an operation of a ruptu
Autor:
Sanna Malinen, Mika Seppä, Robert Boldt, Pia Tikka, Riitta Hari, Synnöve Carlson, Petri Ilmari Savolainen
Publikováno v:
PLoS ONE, Vol 8, Iss 5, p e64489 (2013)
PLoS ONE
PLoS ONE
Earlier studies have shown considerable intersubject synchronization of brain activity when subjects watch the same movie or listen to the same story. Here we investigated the across-subjects similarity of brain responses to speech and non-speech sou
Publikováno v:
PLoS ONE, Vol 7, Iss 7, p e42000 (2012)
PLoS ONE
PLoS ONE
Independent component analysis (ICA) can unravel functional brain networks from functional magnetic resonance imaging (fMRI) data. The number of the estimated components affects both the spatial pattern of the identified networks and their time-cours
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e9bdee4fb0dc9b21a5cf5ff77295200
https://doi.org/10.1371/journal.pone.0042000
https://doi.org/10.1371/journal.pone.0042000