AUD18: Prediction and Surprise in Natural Sound Processing: Comparing DNNs to the human brain

Goals

To better understand audio perception using EEG and DNNs

Projects

  1. Music vs speech processing.
  2. Comparing DNNs to human brains in performing auditory scene analysis.
  3. Characterizing the hierarchical processing of speech in the brain and DNNs

Equipment

  1. BrainVision EEG

Tutorials

  1. Tensorflow, basics of EEG responses and decoding

Organizers

Antje Ihlefeld (Newark College of Engineering)

Alain de Cheveigne (Ecole normale supérieure, Paris)

Ed Lalor (Univ. of Rochester Medical Center)

Confirmed invited faculty

  1. Behtash Babadi (Maryland)
  2. Carol Krumhansl (Cornell)
  3. Jens Hjortkjær (DTU)
  4. Jonathan Le Roux (MERL)
  5. Lisa Margulis (Arkansas)
  6. Lucas Parra (CCNY)
  7. Malcolm Slaney (Google)
  8. Mounya Elihali (JHU)
  9. Nima Mesgarani (Columbia)
  10. Ross Maddox (Rochester)
  11. Shihab Shamma (Maryland and ENS)
  12. Tobias Reichenbach (Imperial)