Comparing models of neural representation based on their metric tensors
- We generalize a previous method (“eigendistortions” - Berardino et al, 2017) to compare neural/neural network models based on their metric tensors. Metric tensors characterize a model’s sensitivity to stimulus perturbations, reflecting both the geometric and stochastic properties of the representation, and providing an explicit prediction of perceptual discriminability.