Complete neural signal processing and analysis: Zero to hero
What you'll learn
- Signal processing
- Time series data analysis
- Statistics (non-parametric)
- Neuroscience (brain science)
- Spectral analysis application
- Applied math
- Basic MATLAB knowledge
- Access to MATLAB or Octave
Use your brain to learn signal processing, data analysis, and statistics... by learning about brains!
If you are reading this, I guess you have a brain. Your brain generates electrical signals that can be measured using electrodes, which are like small antennas. These electrical signals are rreeeeeaaallly complicated, because the brain is really complicated!
But learning how to analyze brain electrical signals is an amazing and fascinating way to learn about signal processing, data visualization, spectral analysis, synchronization (connectivity) analyses, and statistics (in particular, permutation-based statistics).
What do you get in this course?
This course contains over 46 hours of video instruction, plus TONS of MATLAB exercises, problem sets, and challenges.
If you do all the MATLAB exercises, this course is easily well over 100 hours of educational content.
And you get access to the Q&A forum, where you can post specific questions about the course material and I answer as quickly as I can (typically 1-2 days).
By the end of this course, you will have confidence in processing, cleaning, analyzing, and performing statistics on brain electrical activity.
What do you need to know before joining this course?
I have tried to make this course accessible to anyone who is interested in learning neural signal processing and time series analysis.
I believe you can simply start this course without any formal background in neuroscience/biology, and without any background in signal processing/math/statistics. That said, some background in these topics will definitely be helpful.
However, I do assume that you have access to MATLAB (or Octave), and that you have some basic MATLAB coding skills (variables, for-loops, basic plotting). If you are a total noob to MATLAB, then please first take an intro-MATLAB course and then come back here.
Why should you trust this weird Mike X Cohen guy?
I've been teaching this material for almost 20 years. I'm really dedicated to teaching and I work really hard to improve my courses each year.
Check out the reviews of this course and my other courses to see what my students think of my teaching style and dedication.
I've also written several textbooks on neural data analysis and scientific programming. And there are more books and more courses on the way!
... but you have to watch out for my weird sense of humor. You've been warned...
Who this course is for:
- Anyone interested in applied signal processing
- Interested in non-parametric statistics
- Existing or aspiring neuroscience students
- Anyone who wants to know what brain electrical signals look like
I am a full-time educator and writer, and former professor of neuroscience. I "retired" from that position so I could focus my time and energy creating high-quality educational material just for you.
I have 20 years of experience teaching programming, data analysis, signal processing, statistics, linear algebra, and experiment design. I've taught undergraduate students, PhD candidates, postdoctoral researchers, and full professors. I have taught in "traditional" university courses, special week-long intensive courses, and Nobel prize-winning research labs. I have >100 hours of online lectures on neuroscience data analysis that you can find on my website and youtube channel. And I've written several technical books about these topics with a few more on the way.
I'm not trying to show off -- I'm trying to convince you that you've come to the right place to maximize your learning from an instructor who has spent two decades refining and perfecting his teaching style.
Over 200,000 students have watched over 15,000,000 minutes of my courses. Come find out why!
I have several free courses that you can enroll in. Try them out! You got nothing to lose ;)
By popular request, here are suggested course progressions for various educational goals:
MATLAB programming: MATLAB onramp; Master MATLAB; Image Processing
Python programming: Master Python programming by solving scientific projects; Master Math by Coding in Python
Applied linear algebra: Complete Linear Algebra; Dimension Reduction
Signal processing: Understand the Fourier Transform; Generate and visualize data; Signal Processing; Neural signal processing