What Does MVP Stand For? It’s Not What You Think.
October 7, 2024
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This course is part of Neuromarketing Specialization
Instructors: Ian McCulloh
Included with
Recommended experience
Intermediate level
A background in psychology, neuroscience, or health sciences with basic knowledge of research methods and statistics is recommended.
Recommended experience
Intermediate level
A background in psychology, neuroscience, or health sciences with basic knowledge of research methods and statistics is recommended.
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.
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December 2024
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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.
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.
2 readings1 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.
6 videos2 readings3 assignments
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.
1 video1 reading2 assignments
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.
4 videos3 readings3 assignments
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.
3 videos1 reading2 assignments
The mission of The Johns Hopkins University is to educate its students and cultivate their capacity for life-long learning, to foster independent and original research, and to bring the benefits of discovery to the world.
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