Explore

Introduction to Neurohacking In R

Approx. 18 hours to complete

Save Course

Go to Course

Course Summary

Neurohacking is a course that teaches students how to use technology and science to optimize their brain function and improve overall mental health. The course covers various techniques for enhancing cognitive performance and managing stress and anxiety.

Key Learning Points

Learn how to control your brainwave patterns using neurofeedback
Discover the benefits of meditation and mindfulness for mental health
Explore the use of nootropics and other supplements to enhance cognitive function

Job Positions & Salaries of people who have taken this course might have

- USA: $40,000 - $70,000
- India: INR 3,00,000 - INR 6,00,000
- Spain: €25,000 - €40,000
- USA: $40,000 - $70,000
- India: INR 3,00,000 - INR 6,00,000
- Spain: €25,000 - €40,000
- USA: $50,000 - $80,000
- India: INR 4,00,000 - INR 8,00,000
- Spain: €30,000 - €50,000
- USA: $40,000 - $70,000
- India: INR 3,00,000 - INR 6,00,000
- Spain: €25,000 - €40,000
- USA: $50,000 - $80,000
- India: INR 4,00,000 - INR 8,00,000
- Spain: €30,000 - €50,000
- USA: $60,000 - $100,000
- India: INR 5,00,000 - INR 10,00,000
- Spain: €35,000 - €60,000

Learning Outcomes

Understand the science behind neurohacking and its potential benefits
Learn practical techniques for optimizing brain function and improving mental health
Apply neurohacking principles to your daily life for better cognitive performance and overall well-being

Prerequisites or good to have knowledge before taking this course

Basic understanding of neuroscience
Familiarity with meditation and mindfulness practices

Course Difficulty Level

Intermediate

Course Format

Self-paced online course
Video lectures and demonstrations
Interactive quizzes and assignments

Similar Courses

Biohacking Your Brain
Neuroplasticity: How To Rewire Your Brain

Related Education Paths

Notable People in This Field

Dr. Andrew Huberman
Tim Ferriss

Related Books

Description

Neurohacking describes how to use the R programming language (https://cran.r-project.org/) and its associated package to perform manipulation, processing, and analysis of neuroimaging data. We focus on publicly-available structural magnetic resonance imaging (MRI). We discuss concepts such as inhomogeneity correction, image registration, and image visualization.

Outline

Introduction
Meet the Team
Introduction
Structural MRI and R
Syllabus
Theme 1 Quiz

Neuroimaging: Formats and Visualization
Data Structures and Operations
The NIfTI Format
Basic Visualization 1
Basic Visualization 2
Basic Data Manipulation
Transformations and Smoothing
Basic MRI Contrasts
Theme 2 Lecture 1 Quiz
Theme 2 Lecture 2 Quiz
Theme 2 Lecture 3 Quiz
Theme 2 Lecture 4 Quiz
Theme 2 Lecture 5 Quiz
Theme 2 Lecture 6 Quiz

Image Processing
Preprocessing: An Overview
Registration
fslr: System Requirements
Bias Field Correction Using fslr
Brain Extraction using fslr
Image Registration Using fslr
Installing ANTsR
Basic Data Manipulation with ANTsR
Pre-Processing with ANTSR
Theme 3 Quiz 1
Theme 3 Quiz 2
Theme 3 Quiz 3
Theme 3 Quiz 4
Theme 3 Quiz 5
Theme 3 Quiz 6
Theme 3 Quiz 7
Theme 3 Quiz 8
Theme 3 Quiz 9

Extended Image Processing
Advanced Brain Image Processing
Co-Registration using fslr
Co-Registration using ANTsR
Wrapper Functions for Processing Pipelines
Across-Visit Co-Registration of T1 Images
Rigid Registration to a Template
Affine Registration of T1 to Template
Nonlinear Registration of T1 to Template
Getting ROI Anatomic Information from Non-Linear Registration
Tissue-Level Segmentation
Papayar: Interactively Viewing Images in R
Papayar Script
Theme 4 Quiz 1
Theme 4 Quiz 2
Theme 4 Quiz 3
Theme 4 Quiz 4
Theme 4 Quiz 5
Theme 4 Quiz 6
Theme 4 Quiz 7
Theme 4 Quiz 8
Theme 4 Quiz 9
Theme 4 Quiz 10

Summary of User Reviews

The Neurohacking course on Coursera has received positive reviews from many users. The course covers a range of topics related to neuroscience and provides a comprehensive understanding of how the brain works. Many users have praised the course for its engaging content and interactive exercises.

Key Aspect Users Liked About This Course

The course is well-structured and provides a thorough understanding of neuroscience.

Pros from User Reviews

Engaging content that keeps users interested throughout the course
Interactive exercises that help users apply what they have learned
Easy-to-follow lectures that are accessible to both beginners and experts
Instructors who are knowledgeable and responsive to questions
A comprehensive understanding of how the brain works and how to optimize its performance

Cons from User Reviews

Some users have reported technical issues with the online platform
The course can be time-consuming and may require a significant amount of dedication
The course may not be suitable for users who are looking for a quick overview of neuroscience
Some users have reported that the course could benefit from more in-depth discussions on certain topics
The course may not be suitable for users who are looking for a highly specialized course on a specific area of neuroscience

Recommended for you

Machine Learning with Javascript

Master Machine Learning from scratch using Javascript and TensorflowJS with hands-on projects. If you're here, you already know the truth: Machine Learning is the future of everything....

Save Course

Practical Time Series Analysis

Welcome to Practical Time Series Analysis! Many of us are "accidental" data analysts. We also look at graphical representations that provide insights into our data....

Save Course

Publishing Visualizations in R with Shiny and flexdashboard

One of the critical tools for data visualization today is the R statistical programming language. This course is the fourth in the Specialization "Data Visualization and Dashboarding in R....

Save Course

Agile Kanban: Kanban for Software Development Teams

Learn the Kanban way of Agile Project Management | Prepare for Kanban Certification | Kanban for Software Development incrementally change the underlying process....

Save Course