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Neuroscience Methods

Ce cours n'est pas disponible en Français (France)

Nous sommes actuellement en train de le traduire dans plus de langues.

Neuroscience Methods

Ce cours fait partie de Spécialisation "Neuromarketing "

Instructeurs : Ian McCulloh

2 481 déjà inscrits

Inclus avec

5 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

2 semaines à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

5 modules

Obtenez un aperçu d'un sujet et apprenez les principes fondamentaux.

niveau Intermédiaire

Expérience recommandée

2 semaines à compléter

à 10 heures par semaine

Planning flexible

Apprenez à votre propre rythme

Ce que vous apprendrez

Learn to collect and analyze neuroimaging data related to perception, attention, memory, and emotion using advanced tools.
Analyze and interpret brain imaging data from fNIRS and apply statistical tests to understand cognitive functions.
Understand biometric, physiological, and qualitative measurement methods, evaluating their suitability for different research goals.
Analyze eye-tracking data to identify key metrics related to attention and information processing in cognitive and behavioral research.

Compétences que vous acquerrez

Catégorie : Statistical Analysis
Catégorie : Science and Research
Catégorie : Research Design
Catégorie : Sensory Systems Analysis
Catégorie : Neurology
Catégorie : Data Analysis
Catégorie : Psychology
Catégorie : Data Collection
Catégorie : Psychological Evaluations
Catégorie : Medical Imaging
Catégorie : Research Methodologies
Catégorie : Image Analysis
Catégorie : Physiology
Catégorie : Laboratory Research
Catégorie : Statistical Inference
Catégorie : Statistical Hypothesis Testing

Détails à connaître

Certificat partageable

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Évaluations

10 devoirs

Enseigné en Anglais

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Ce cours fait partie de la Spécialisation "Neuromarketing "

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Il y a 5 modules dans ce cours

The course "Neuroscience Methods" provides hands-on experience with cutting-edge neuroscience methods, equipping you to explore how the brain supports perception, attention, memory, and emotion. You'll gain proficiency in using tools such as neuroimaging, biometric systems, psycho-physiological sensors, and eye trackers to collect and analyze complex datasets. Learn to interpret data through advanced neural imaging and physiological measurement techniques, and critically assess the strengths and limitations of different methods.

With a unique combination of theory and practice, this course empowers you to design robust research studies and make informed decisions about measurement tools. By mastering techniques like functional near-infrared spectroscopy (fNIRS) and eye-tracking analysis, you'll uncover valuable insights into cognitive and emotional processes. Whether you're a postgraduate student or researcher, this course will deepen your understanding of neuroscience tools and their applications, preparing you for innovative work in psychological and health-related fields.

Détails du module

This course explores the neural anatomy and cognitive functions related to perception, attention, memory, and emotion. Students will gain hands-on experience in using neuroimaging, biometric, psycho-physiological, and eye-tracking tools to collect and analyze data. Emphasis is placed on interpreting complex datasets and understanding various measurement techniques, including brain imaging, physiological, and qualitative methods. Learners will evaluate the strengths and limitations of different measurement approaches in psychological and neuroscience research. By the end, learners will be equipped to select appropriate tools and methods for research design and data interpretation.

Inclus

2 lectures1 plugin

This module provides an introduction to brain imaging techniques, with a focus on neural imaging tools and functional Near-Infrared Spectroscopy (fNIRS). Through the lessons "Visualizing the Mind: An Introduction to Neural Imaging and fNIRS" and "fNIRS: Experiment and Analysis," learners will explore the fundamentals of brain imaging and the application of fNIRS in both experimental settings and data analysis.

Inclus

6 vidéos2 lectures3 devoirs

6 vidéosTotal 94 minutes

Neural Imaging Part 116 minutes
Neural Imaging Part 212 minutes
fNIRS Familiarization9 minutes
NIRSLab19 minutes
fNIRS Experiment7 minutes
fNIRS Analysis with Excel31 minutes

2 lecturesTotal 120 minutes

Reading References60 minutes
Reading References60 minutes

3 devoirsTotal 90 minutes

Neural Imaging60 minutes
Visualizing the Mind: An Introduction to Neural Imaging and fNIRS15 minutes
fNIRS: Experiment and Analysis15 minutes

In this module, you will learn to analyze brain imaging data collected via functional near-infrared spectroscopy (fNIRS). The module will also include a brief primer on statistical testing. If students have not taken a statistics course that involves hypothesis testing before, it is wise to review the primer and attend office hours to make sure they understand the necessary content before completing any assignments.

Inclus

1 vidéo1 lecture2 devoirs

This module introduces students to various biometric methods, focusing on eye-tracking technologies and other physiological measurement techniques. Through the lessons "Choosing Biometric Methods: Technologies and Techniques" and "Exploring Biometric Techniques: Eye Tracking Insights," learners will gain a deeper understanding of how biometric data is collected and analyzed, with a particular emphasis on the insights provided by eye-tracking technologies.

Inclus

4 vidéos3 lectures3 devoirs

4 vidéosTotal 48 minutes

Biometric & Physiological Methods7 minutes
Techniques and Tools21 minutes
Summary of Techniques7 minutes
Eye Tracking Deep Dive13 minutes

3 lecturesTotal 240 minutes

Reading References100 minutes
Reading References100 minutes
Self-Reflective Reading: Consumer Neuroscience and Preference Studies40 minutes

3 devoirsTotal 90 minutes

Biometric and Physiological Methods60 minutes
Choosing Biometric Methods: Technologies and Techniques15 minutes
Exploring Biometric Techniques: Eye Tracking Insights15 minutes

The "Eye Tracking Analysis" module focuses on the principles and techniques of analyzing eye-tracking data. Through the lesson "Mastering Tobii: Data Import, Visualization, and Metrics," students will learn how to import, visualize, and interpret eye-tracking data, gaining hands-on experience with the Tobii platform to analyze experimental results effectively.

Inclus

3 vidéos1 lecture2 devoirs

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