Neural Decoding of Spike Trains and Local Field Potentials with Machine Learning in Python

Neural Decoding of Spike Trains and Local Field Potentials with Machine Learning in Python

MITCBMM via YouTube Direct link

Objectives

12 of 28

12 of 28

Objectives

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Classroom Contents

Neural Decoding of Spike Trains and Local Field Potentials with Machine Learning in Python

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  1. 1 Introduction
  2. 2 Overview
  3. 3 Example spike train
  4. 4 Stimulus
  5. 5 Why neural decoding is important
  6. 6 Pipeline of coding analysis
  7. 7 Crossvalidation
  8. 8 Data set
  9. 9 Experiment
  10. 10 Explanation
  11. 11 Brain videos
  12. 12 Objectives
  13. 13 Title
  14. 14 Open source packages
  15. 15 Machine learning basics
  16. 16 Linear support vector machine
  17. 17 Extra trees
  18. 18 Cross validation
  19. 19 Tutorial
  20. 20 Anaconda
  21. 21 Jupiter
  22. 22 Random Forest
  23. 23 Notebook
  24. 24 Loading the data
  25. 25 Loading the motion data
  26. 26 Plot function
  27. 27 Changing number of trials
  28. 28 Defining the classifier

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