Intro (55:02)



35:15 → Transition from Heiko to Niko: "Steps of RSA"
Potential break point
Move 35:00 - 55:00 to Tutorial 4 (Bonus)
Delete the mention of Tutorial 3 and the stats stuff
Write it in text.
What to do about DSA? Will it be included?


Introduced Concepts:
  • Representational Geometry
  • Whitening Data
  • Squared Mahalanobis Distance
  • Crossnobis Distance Estimator
  • Fisher Linear Discriminant (Contrast)
  • Bootstrap Resampling (Two-Factor)
  • 2-Factor Cross Validation
  • Random Effects
  • Noise Ceiling
  • Golan wings / dewdrops (significance indication in visualisation)
  • 



Global thoughts:
  • Very technical, perhaps too much so
  • Come back after code check and make sure it fits and is all necessary
  • Need to prep students on concepts beforehand, introduce concepts succinctly so they don't become confused / disengaged
  • Drives the point of generalisation, particularly around 24:30 with the slide "The representational similarity of inputs determines how a readout from the network generalises"