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Decision Making II (Outro Lecture)

Difficulty level
Beginner
Duration
30:40

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
Prerequisites

Experience with Python Programming Language

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