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Tóth, Zoltán Géza
Dr. Wührl, Tibor
2026-02-09T07:17:33Z
2026-02-09T07:17:33Z
2026
http://hdl.handle.net/20.500.14044/37378
In my presentation, I will introduce the data analysis methods used in functional brain imaging. I will review the pre-processing steps used to improve the signal- to-noise ratio. I will describe the basics of blind source separation (BSS) methods— independent component analysis (ICA) and extended spatial decorrelation (ESD)—and how these methods can be applied in modern functional brain imaging, such as optical imaging of internal (within human body) signals or functional magnetic resonance imaging.hu_HU
dc.formatpdfhu_HU
enhu_HU
Blind source separation methods used in functional brain imaginghu_HU
Open accesshu_HU
Óbudai Egyetemhu_HU
2026hu_HU
Budapesthu_HU
Kandó Kálmán Villamosmérnöki Karhu_HU
Óbudai Egyetemhu_HU
Műszaki tudományok - gépészeti tudományokhu_HU
separation methodshu_HU
functional brain imaginghu_HU
independent component analysishu_HU
Konferenciaközleményhu_HU
XLI. Kandó Konferencia 2025 KK2025hu_HU
local.tempfieldCollectionsKönyvrészletekhu_HU
41.hu_HU
Kiadói változathu_HU
14 p.hu_HU
Kandó Konferencia 2025hu_HU
978-963-449-398-3hu_HU
2026hu_HU
Óbudai Egyetemhu_HU
Budapesthu_HU


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