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UE921 - NEURO 102 - Methods in brain imaging


Lieu et planning


  • Autre lieu Paris
    Université de Paris, 45 rue des Saints-Pères 75006 Paris
    1er semestre / hebdomadaire, vendredi 09:00-12:00
    du 25 septembre 2020 au 22 janvier 2021


Description


Dernière modification : 7 avril 2021 15:26

Type d'UE
Enseignements fondamentaux de master
Disciplines
Psychologie et sciences cognitives
Page web
https://cogmaster.ens.psl.eu/en/program/m1-program-13570 
Langues
anglais
Mots-clés
Sciences cognitives
Aires culturelles
-
Intervenant·e·s

The purpose of this course is to provide basic knowledge of brain neuroimaging in humans and animals in order to successfully and appropriately address a given research question. The course also aims to discuss methodological limitations. The purpose is not for the students to become specialists of a given neuroimaging tool but to be able to have a general understanding of the different options that are available, as well as their strength and weaknesses.

1. Introduction                      

2. MRI, principles & acquisition

3. Functional MRI, analysis tools

4. TD1, SPM analyses

5. TD2, retinotopic analyses                       

6. Cerebral invasive and non-invasive stimulation                                          

7. EEG-MEG, principles & acquisition

8. EEG-MEG, analysis tools

9. Intracranial methods

10. TD EEG/MEG                       

11. Modeling of cerebral data

12. Visit of the CENIR
13. Exam session (oral)


Master


  • Méthodologie – Sciences cognitives – M1/S1
    Suivi et validation – semestriel hebdomadaire = 4 ECTS
    MCC – examen

Renseignements


Contacts additionnels
cogmaster@psl.eu
Informations pratiques

The complete syllabus of the course is available on the Cogmaster's website. For any information, please contact the secretariat of the Cogmaster.

Registration procedure (external students) : https://cogmaster.ens.psl.eu/en/students/external-students-13501

Direction de travaux des étudiants
-
Réception des candidats
-
Pré-requis

All students will need basic brain physiology knowledge (e.g. action potential, brain anatomy), as well as basic methodological knowledge (e.g. idea of frequency, sampling, function).

Dernière modification : 7 avril 2021 15:26

Type d'UE
Enseignements fondamentaux de master
Disciplines
Psychologie et sciences cognitives
Page web
https://cogmaster.ens.psl.eu/en/program/m1-program-13570 
Langues
anglais
Mots-clés
Sciences cognitives
Aires culturelles
-
Intervenant·e·s

The purpose of this course is to provide basic knowledge of brain neuroimaging in humans and animals in order to successfully and appropriately address a given research question. The course also aims to discuss methodological limitations. The purpose is not for the students to become specialists of a given neuroimaging tool but to be able to have a general understanding of the different options that are available, as well as their strength and weaknesses.

1. Introduction                      

2. MRI, principles & acquisition

3. Functional MRI, analysis tools

4. TD1, SPM analyses

5. TD2, retinotopic analyses                       

6. Cerebral invasive and non-invasive stimulation                                          

7. EEG-MEG, principles & acquisition

8. EEG-MEG, analysis tools

9. Intracranial methods

10. TD EEG/MEG                       

11. Modeling of cerebral data

12. Visit of the CENIR
13. Exam session (oral)

  • Méthodologie – Sciences cognitives – M1/S1
    Suivi et validation – semestriel hebdomadaire = 4 ECTS
    MCC – examen
Contacts additionnels
cogmaster@psl.eu
Informations pratiques

The complete syllabus of the course is available on the Cogmaster's website. For any information, please contact the secretariat of the Cogmaster.

Registration procedure (external students) : https://cogmaster.ens.psl.eu/en/students/external-students-13501

Direction de travaux des étudiants
-
Réception des candidats
-
Pré-requis

All students will need basic brain physiology knowledge (e.g. action potential, brain anatomy), as well as basic methodological knowledge (e.g. idea of frequency, sampling, function).

  • Autre lieu Paris
    Université de Paris, 45 rue des Saints-Pères 75006 Paris
    1er semestre / hebdomadaire, vendredi 09:00-12:00
    du 25 septembre 2020 au 22 janvier 2021