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Decision Making II (Outro Lecture)

Difficulty level

This lecture covers multiple topics on dynamical neural modeling and inference and their application to basic neuroscience and neurotechnology design.

Topics covered in this lesson
  • How to develop multiscale dynamical models and filters
  • How to study neural dynamics across spatiotemporal scales
  • How to dissociate and model behaviorally relevant neural dynamics
  • How to model neural dynamics in response to electrical stimulation input
  • How to apply these techniques in developing brain-machine interfaces (BMIs) to restore lost motor or emotional function

Experience with Python Programming Language

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