Description
PCA & multivariate signal processing, applied to neural data is a PCA principal component analysis and multivariate signal processing course for neural network data provided by Udemy. This course will theoretically teach you big data analysis and cutting techniques in neuroscience. Also, by learning how to code in the article, you implement the training in practice.
The purpose of this training course is to teach matrix-based data analysis methods for time series data in neuroscience with an emphasis on multivariate reduction and source-separation methods.
The provided training includes PCA covariance matrix, principal component analysis, eigenvector combination, independent component analysis. Although this training course includes difficult mathematical topics. But it can also be used by people who do not have an academic math background. The subject software is used as a numerical data processing engine.
Items taught in this course:
- Learning advanced methods of linear algebra
- Using advanced methods of linear algebra in the software MATLAB
- Simulation of multivariate data to test analysis methods
- Analysis of multivariate time series data sets
- Getting to know the challenges facing neuroscience
- Learning modern neuroscience data analysis
Course details:
Publisher: Udemy
Instructor: Mike X Cohen
Duration: 17h 34m
Number of lessons: 100 lessons in 12 sections
English language
Course topics PCA & multivariate signal processing, applied to neural data
Course prerequisite
Some linear algebra background (or interest in learning!)
Some neuroscience background (or interest in learning!)
Some MATLAB programming experience (only to complete exercises)
Interest in learning applied linear algebra
Pictures
Sample video
Installation guide
After extracting, watch with your favorite player.
English subtitle
Quality: 720p
Changes:
Version 2021/2 has not changed in the number of lessons and time compared to 2020/8, but because more than 6 months have passed since the previous update, it has been updated.
The 2021/3 version has not changed in the number of lessons and total time compared to 2021/2 and has not been updated.
The 2021/11 version has increased the content by 20 lessons (2 sections) and 7.5 hours compared to 2021/2-2021/3.
– This course is free to download.
download link
File(s) password: www.downloadly.ir
Size
4.43 GB
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