How well do models of visual cortex generalize to out of distribution samples?
Fig 7
Prediction and neural prediction score consistency across neuronal models.
A: (left column) histogram of consistency in neuronal predictivity scores of different neuronal sites across neuronal models constructed from different layers within the same neural network architecture (top row) and across layers from different neural network architectures (bottom row). (right column) similar to the left column except the consistency is computed for image-level predictions; B: Comparison of neuronal predictivity scores between single and ensemble neuronal models in natural (top) and synthetic (bottom) domains. The single layer model consists of the best neuronal model for each neuronal site within a neural network model. Each ensemble model is constructed by aggregating the predictions from the top-5 neuronal models within the same network for each neural site; C: comparison of neural predictivity scores in natural and synthetic domains for best single model, within-model and cross-model ensembles. All error bars denote the variance across 5 repetitions of each analysis.