One-to-one mapping between deep network units and real neurons uncovers a visual population code for social behavior

• https://www.biorxiv.org/content/10.1101/2022.07.18.500505v2
  • https://twitter.com/BenjoCowley/status/1550157582412615681?s=20&t=kqrH6op3aKm3Nw_YPYZquA

A key ingredient we introduce is “knockout training”, which involves perturbing the network during training to match the perturbations of the real neurons during behavioral experiments.

This study trains a Artificial neural network with the same visual input given to a fly with the activation in fly brain as a training signal for the bottleneck in the DNN.