Detail publikace

Toolbox pro zpracování neurovědních dat

MALÝ, L. LAMOŠ, M.

Originální název

Neural data toolbox (NDTB)

Český název

Toolbox pro zpracování neurovědních dat

Anglický název

Neural data toolbox (NDTB)

Typ

článek ve sborníku

Jazyk

en

Originální abstrakt

Neural Data Toolbox (NDTb) is MATLAB toolbox for functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) data processing. Toolbox now features tools for anonymizing data sets and visualizing fMRI images in 3D. In this contribution basics of each modality and features of each tool from NDTb are described and future development of toolbox is outlined.

Český abstrakt

Neural Data Toolbox (NDTb) je soubor funkcí pro práci s neurovědními daty v programovém prostředí MATLAB.

Anglický abstrakt

Neural Data Toolbox (NDTb) is MATLAB toolbox for functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) data processing. Toolbox now features tools for anonymizing data sets and visualizing fMRI images in 3D. In this contribution basics of each modality and features of each tool from NDTb are described and future development of toolbox is outlined.

Klíčová slova

neurovědy, fMRI, EEG, MATLAB, SPM, NDTb, anonymizace, 3D vizualizace

Rok RIV

2013

Vydáno

25.04.2013

ISBN

978-80-214-4695-3

Kniha

Proceedings of the 19th Conference STUDENT EEICT 2013

Strany od

163

Strany do

165

Strany počet

3

BibTex


@inproceedings{BUT103616,
  author="Lukáš {Malý} and Martin {Lamoš}",
  title="Neural data toolbox (NDTB)",
  annote="Neural Data Toolbox (NDTb) is MATLAB toolbox for functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) data processing. Toolbox now features tools for anonymizing data sets and visualizing fMRI images in 3D. In this contribution basics of each modality and features of each tool from NDTb are described and future development of toolbox is outlined.",
  booktitle="Proceedings of the 19th Conference STUDENT EEICT 2013",
  chapter="103616",
  howpublished="print",
  year="2013",
  month="april",
  pages="163--165",
  type="conference paper"
}