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Linear Systems II (Outro Lecture)

Difficulty level

Neuromatch Academy aims to introduce traditional and emerging tools of computational neuroscience to trainees. It is appropriate for student population ranging from undergraduates to faculty in academic settings and also includes industry professionals. In addition to teaching the technical details of computational methods, Neuromatch Academy also provide a curriculum centered on modern neuroscience concepts taught by leading professors along with explicit instruction on how and why to apply models. 



This lecture provides a summary of Linear Dynamical Systems  concepts covered in Linear Systems I (Intro Lecture) and Tutorials 1 - 4 and introduces motor neuroscience/neuroengineering, brain machine interface, and applications of dynamical systems

Topics covered in this lesson
  • Linear dynamical systems
  • Motor neuroscience and neuroengineering
  • Brain Machine Interface 
  • Applications of dynamical systems

Experience with Python Programming Language.

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