Skip to content Skip to sidebar Skip to footer

PCA & multivariate signal processing, applied to neural data

 PCA & multivariate signal processing, applied to neural data
udemy course
PCA & multivariate signal processing, applied to neural data
PCA & multivariate signal processing, applied to neural data. 8 hours of instruction on theory, practice, and implementation of covariance-based dimension-reduction and source-separation methods for multivariate data. Sample EEG data are provided, and the methods are applicable to any multichannel time series data.
Highest Rated
by Mike X Cohen

What you'll learn
  • Understand advanced linear algebra methods
  • Apply advanced linear algebra methods in MATLAB
  • Simulate multivariate data for testing analysis methods
  • Analyzing multivariate time series datasets
  • Appreciate the challenges neuroscientists are struggling with!
  • Learn about modern neuroscience data analysis
 Description

What is this course all about?

Neuroscience (brain science) is changing -- new brain-imaging technologies are allowing increasingly huge data sets, but analyzing the resulting Big Data is one of the biggest struggles in modern neuroscience (if don't believe me, ask a neuroscientist!).

The increases in the number of simultaneously recorded data channels allows new discoveries about spatiotemporal structure in the brain, but also presents new challenges for data analyses. Because data are stored in matrices, algorithms developed in linear algebra are extremely useful.

The purpose of this course is to teach you some matrix-based data analysis methods in neural time series data, with a focus on multivariate dimensionality reduction and source-separation methods. This includes covariance matrices, principal components analysis (PCA), generalized eigendecomposition (even better than PCA!), and independent components analysis (ICA). The course is mathematically rigorous but is approachable to individuals with no formal mathematics background. MATLAB is the primary numerical processing engine but the material is easily portable to Python or any other language.
Online Course CoupoNED
Online Course CoupoNED I am very happy that there are bloggers who can help my business

Post a Comment for " PCA & multivariate signal processing, applied to neural data"

Subscribe via Email