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Complete neural signal processing and analysis: Zero to hero

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Complete neural signal processing and analysis: Zero to hero
Complete neural signal processing and analysis Zero to hero

Learn signal processing and statistics using brain electrical data with expert instruction and code challenges in MATLAB

Product Brand: Udemy

Editor's Rating:
4.7
Complete neural signal processing and analysis: Zero to hero
Complete neural signal processing and analysis Zero to hero

Learn signal processing and statistics using brain electrical data with expert instruction and code challenges in MATLAB

Product Brand: Udemy

Editor's Rating:
4.7

Udemy Coupon Code for Complete neural signal processing and analysis: Zero to hero Course. Learn signal processing and statistics using brain electrical data with expert instruction and code challenges in MATLAB

Created by Mike X Cohen | 47 hours on-demand video course

Signal Processing Course Overview

Complete neural signal processing and analysis: Zero to hero

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 you’ll learn

  • Signal processing
  • Time series data analysis
  • Statistics (non-parametric)
  • Neuroscience (brain science)
  • Spectral analysis application
  • Applied math

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This Master the Fourier transform and its applications course is focused on implementations of the Fourier transform on computers, and applications in digital signal processing (1D) and image processing (2D). I don’t go into detail about setting up and solving integration problems to obtain analytical solutions. Thus, this course is more on the computer science/data science/engineering side of things, rather than on the pure mathematics/differential equations/infinite series side.

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

Taught by Mike X Cohen

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Josh Smith
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