Completion

CERTIFICATE

Neuroscience Methods

Master brain activity analysis with fNIRS and eye tracking while developing practical skills for collecting and interpreting cognitive data.

Course Cost

Free course

Intermediate

Skill Level

14 Hours

Self-paced lessons

This comprehensive course provides hands-on experience with advanced neuroscience methods for exploring how the brain supports perception, attention, memory, and emotion. You'll develop practical skills in collecting and analyzing data using tools such as functional near-infrared spectroscopy (fNIRS), eye tracking, and various biometric systems. Through detailed instruction and hands-on exercises, you'll learn to interpret complex neural imaging data, apply statistical tests to understand cognitive functions, and evaluate the strengths and limitations of different measurement approaches. The curriculum covers key techniques including neuroimaging analysis with NIRSLab and Excel, eye-tracking data interpretation with Tobii, and various physiological measurement methods. This unique combination of theory and practice equips you to design robust research studies, make informed decisions about appropriate measurement tools, and extract meaningful insights from neuroscience data. Whether you're a researcher, student, or professional in psychology or health-related fields, this course provides the technical expertise needed for innovative work in neuroscience.

Ian McCulloh

Jennifer McKneely

English

Ian McCulloh

Jennifer McKneely

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

Design robust research studies with appropriate neuroscience measurement techniques

Make informed decisions about selecting the right tools for specific research questions

Skills you'll gain

Neuroimaging

fNIRS Analysis

Eye Tracking

Biometric Methods

Statistical Testing

Data Visualization

Cognitive Assessment

Brain Imaging

Physiological Measurement

Neuromarketing

This course includes:

2.8 Hours PreRecorded video

10 assignments

Access on Mobile, Tablet, Desktop

Batch access

Shareable certificate

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Share your certificate with prospective employers and your professional network on LinkedIn.

CREATED BY

PROVIDED BY

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Top companies provide this course to enhance their employees' skills, ensuring they excel in handling complex projects and drive organizational success.

There are 5 modules in this course

The Neuroscience Methods course offers a comprehensive exploration of advanced techniques used to study brain activity and cognitive functions. The curriculum begins with an introduction to neural imaging, focusing particularly on functional Near-Infrared Spectroscopy (fNIRS) technology and its applications. Students learn to collect, process, and analyze fNIRS data using specialized software like NIRSLab and Excel. The course then covers statistical approaches for analyzing neural data, including hypothesis testing and interpretation of results. Additional modules explore various biometric and physiological measurement methods, with special emphasis on eye-tracking technologies. The final section provides in-depth training on eye-tracking analysis using the Tobii platform, covering data import, visualization, and metrics interpretation. Throughout the course, students gain practical experience working with real datasets and learn to evaluate different neuroscience methods for specific research questions.

Course Introduction

Module 1 · 19 Minutes to complete

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.

Skills you'll gain

Research methods

Data analysis

Neuroimaging techniques

Cognitive assessment

Experimental design

This course includes:

1 Plugins

2 Reading Materials

Neural Imaging

Module 2 · 5 Hours to complete

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.

Skills you'll gain

Brain imaging techniques

fNIRS methodology

Neural data collection

Neuroimaging analysis

Research design

This course includes:

6 Videos

3 Assignments

2 Reading Materials

Neural Data Analysis

Module 3 · 1 Hours to complete

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.

Skills you'll gain

Statistical analysis

fNIRS data interpretation

Hypothesis testing

Brain signal processing

Data visualization

This course includes:

1 Videos

2 Assignments

1 Reading Materials

Biometric and Physiological Methods

Module 4 · 6 Hours to complete

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.

Skills you'll gain

Biometric measurement

Eye-tracking technology

Physiological data collection

Consumer neuroscience

Research methodology

This course includes:

4 Videos

3 Assignments

3 Reading Materials

Eye Tracking Analysis

Module 5 · 1 Hours to complete

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.

Skills you'll gain

Eye-tracking analysis

Tobii platform

Data visualization

Attention metrics

Gaze pattern interpretation

This course includes:

3 Videos

2 Assignments

1 Reading Materials

Fee Structure

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Faculties

These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.

1,222

Students

Courses

Ian McCulloh

Dr. Ian McCulloh is an esteemed associate professor at Johns Hopkins University, holding joint appointments in the Bloomberg School of Public Health and the Whiting School of Engineering. His research focuses on social neuroscience, social network analysis, and the application of artificial intelligence to enhance understanding of online influence and strategic communication. With over 100 peer-reviewed publications and several influential books, including Social Network Analysis with Applications and ISIS in Iraq: Understanding the Social and Psychological Foundations of Terror, Dr. McCulloh has established himself as a leading voice in his field. He also founded the Brain Rise Foundation, a nonprofit dedicated to advancing neuroscience research for substance abuse recovery. Prior to his academic career, he had a distinguished military service, retiring as a Lieutenant Colonel after 20 years, during which he led innovative projects in data-driven social science research for countering extremism. Dr. McCulloh's multifaceted expertise and commitment to applying science for societal benefit make him a valuable asset to both academia and public health initiatives.

990

Students

Courses

Jennifer McKneely

Jennifer McKneely is an instructor at Johns Hopkins University specializing in neuroscience. She teaches courses such as Foundations of Neuroscience, Neuroscience Methods, and Practical Neuromarketing Research on Coursera. Her work focuses on providing learners with a deep understanding of the principles of neuroscience, research methodologies, and their applications in fields like marketing and behavior analysis. Her courses are designed to bridge theoretical knowledge with practical applications, making them valuable for students and professionals aiming to explore the complexities of brain science and its implications in real-world contexts. Through her teachings, McKneely emphasizes the importance of neuroscience in understanding human behavior and decision-making processes.

Intermediate

Skill Level

14 Hours

Self-paced lessons

Course Cost

Free course

Completion

CERTIFICATE

Frequently asked Questions

Below are some of the most commonly asked questions about this course. We aim to provide clear and concise answers to help you better understand the course content, structure, and any other relevant information. If you have any additional questions or if your question is not listed here, please don't hesitate to reach out to our support team for further assistance.

Neuroscience Methods

What you'll learn

Skills you'll gain

This course includes:

Get a Completion Certificate

Get a Completion Certificate

Top companies offer this course to their employees

There are 5 modules in this course

Course Introduction

Skills you'll gain

This course includes:

Neural Imaging

Skills you'll gain

This course includes:

Neural Data Analysis

Skills you'll gain

This course includes:

Biometric and Physiological Methods

Skills you'll gain

This course includes:

Eye Tracking Analysis

Skills you'll gain

This course includes:

Fee Structure

Reviews

Faculties

Frequently asked Questions

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