LIMO EEG : A Toolbox for Hierarchical LInear MOdeling of ElectroEncephaloGraphic Data

المؤلفون المشاركون

Gaspar, Carl
Chauveau, Nicolas
Rousselet, Guillaume A.
Pernet, Cyril R.

المصدر

Computational Intelligence and Neuroscience

العدد

المجلد 2011، العدد 2011 (31 ديسمبر/كانون الأول 2011)، ص ص. 1-11، 11ص.

الناشر

Hindawi Publishing Corporation

تاريخ النشر

2011-02-21

دولة النشر

مصر

عدد الصفحات

11

التخصصات الرئيسية

الأحياء

الملخص EN

Magnetic- and electric-evoked brain responses have traditionally been analyzed by comparing the peaks or mean amplitudes of signals from selected channels and averaged across trials.

More recently, tools have been developed to investigate single trial response variability (e.g., EEGLAB) and to test differences between averaged evoked responses over the entire scalp and time dimensions (e.g., SPM, Fieldtrip).

LIMO EEG is a Matlab toolbox (EEGLAB compatible) to analyse evoked responses over all space and time dimensions, while accounting for single trial variability using a simple hierarchical linear modelling of the data.

In addition, LIMO EEG provides robust parametric tests, therefore providing a new and complementary tool in the analysis of neural evoked responses.

نمط استشهاد جمعية علماء النفس الأمريكية (APA)

Pernet, Cyril R.& Chauveau, Nicolas& Gaspar, Carl& Rousselet, Guillaume A.. 2011. LIMO EEG : A Toolbox for Hierarchical LInear MOdeling of ElectroEncephaloGraphic Data. Computational Intelligence and Neuroscience،Vol. 2011, no. 2011, pp.1-11.
https://search.emarefa.net/detail/BIM-501650

نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)

Pernet, Cyril R.…[et al.]. LIMO EEG : A Toolbox for Hierarchical LInear MOdeling of ElectroEncephaloGraphic Data. Computational Intelligence and Neuroscience No. 2011 (2011), pp.1-11.
https://search.emarefa.net/detail/BIM-501650

نمط استشهاد الجمعية الطبية الأمريكية (AMA)

Pernet, Cyril R.& Chauveau, Nicolas& Gaspar, Carl& Rousselet, Guillaume A.. LIMO EEG : A Toolbox for Hierarchical LInear MOdeling of ElectroEncephaloGraphic Data. Computational Intelligence and Neuroscience. 2011. Vol. 2011, no. 2011, pp.1-11.
https://search.emarefa.net/detail/BIM-501650

نوع البيانات

مقالات

لغة النص

الإنجليزية

الملاحظات

Includes bibliographical references

رقم السجل

BIM-501650