Johns Hopkins University

Neuroscience Methods

This course is part of Neuromarketing Specialization

Ian McCulloh
Jennifer McKneely

Instructors: Ian McCulloh

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Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

15 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace
Gain insight into a topic and learn the fundamentals.
Intermediate level

Recommended experience

15 hours to complete
3 weeks at 5 hours a week
Flexible schedule
Learn at your own pace

What you'll learn

  • 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.

Details to know

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Recently updated!

December 2024

Assessments

10 assignments

Taught in English

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This course is part of the Neuromarketing Specialization
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There are 5 modules in this course

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.

What's included

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.

What's included

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.

What's included

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.

What's included

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.

What's included

3 videos1 reading2 assignments

Instructors

Ian McCulloh
Johns Hopkins University
17 Courses947 learners
Jennifer McKneely
Johns Hopkins University
3 Courses78 learners

Offered by

Recommended if you're interested in Psychology

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