Introduction to Data Analysis and Neural Coding
Introduction to Data Analysis and Neural Coding
This lecture covers the description and characterization of an input-output relationship in a information-theoretic context.
Topics covered in this lesson
- Describing an input-output relationship ("black box" analysis)
- Characterizing an input-output relationship (information-theoretic methods)
- Recurring themes:
- Why so many approaches?
- Data analysis as dimension reduction
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