Aihe-ehdotuksia
- aivot 4
- 5012 2
- Biomechanics 2
- Biomekaniikka 2
- Independent Component Analysis (ICA) 2
- MEG 2
- N1b 2
- T-complex 2
- aivotutkimus 2
- auditory N1 2
- children 2
- current source density (CSD) 2
- event-related potential (ERP) 2
- functional connectivity 2
- functional magnetic resonance imaging (fMRI) 2
- functional symmetry 2
- harjoittelu 2
- independent component analysis (ICA) 2
- kognitiiviset prosessit 2
- kuunteleminen 2
- musical training 2
- musiikki 2
- musiikkikasvatus 2
- muusikot 2
- neuroplastisuus 2
- non-specific N1 2
- predictive listening 2
- pulse clarity 2
- toiminnallinen magneettikuvaus 2
- 202 1
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1
Independent component analysis (ICA) in analysing child high-density event-related potential (ERP) and current source density (CSD) data
Julkaistu 2008Aiheet: “…independent component analysis (ICA)…”
Hae kokoteksti Hae kokotekstiPro gradu -
2
Independent component analysis (ICA) in analysing child high-density event-related potential (ERP) and current source density (CSD) data
Julkaistu 2008Aiheet: “…independent component analysis (ICA)…”
Hae kokoteksti
Pro gradu -
3
Newton update based independent vector analysis with various source density models
Julkaistu 2022“…Tutkielmassa käytetyt IVA algoritmit sekä niiden suorituskykyyn liittyvät indeksit ovat julkaistu R-paketissa ivaBSS osana tutkielmaa Blind source separation methods (BSS) are used to estimate latent source signals from their mixed observations when the mixing environment is unknown. Independent component analysis (ICA) is a BSS method, which aims to recover the sources by maximizing the independence between the estimated sources. …”
Hae kokoteksti Hae kokotekstiPro gradu -
4
Brain integrative function driven by musical training during real-world music listening
Julkaistu 2017Aiheet: Yhteenveto-osa ja 2 eripainosta
Väitöskirja -
5
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6
Exploring EEG recordings of Focused Attention Meditation with Fourier-ICA
Julkaistu 2017“…This study uses a variant of Independent Component Analysis (ICA) called Fourier-ICA to analyze EEG data from meditation sessions and shows that ICA can be used to do much more than just remove artifacts, which is the normal use case in EEG studies. …”
Hae kokoteksti Hae kokotekstiPro gradu -
7
Korkeaintensiteettisen intervalliharjoituksen akuutit vaikutukset aivojen lepoaktiivisuuteen 16-17-vuotiailla nuorilla : MEG-tutkimus
Julkaistu 2020“…Additionally, group level Fourier ICA (independent component analysis) was experimentally applied to examine spatial differences of peak frequency changes more in detail. …”
Hae kokoteksti Hae kokotekstiPro gradu -
8
Decoding four-finger proprioceptive and tactile stimuli from magnetoencephalography
Julkaistu 2024“…Preprocessing steps included noise reduction techniques such as oversampled temporal projection (OTP), temporal signal space separation (tSSS), and independent component analysis (ICA). Features for decoding were extracted from the temporal changes in MEG signals using a sliding time window analysis, and SVMs were employed for classification. …”
Hae kokoteksti Hae kokotekstiPro gradu