How well do models of visual cortex generalize to out of distribution samples?
This study evaluates how well deep neural networks generalize to out-of-distribution stimuli in predicting primate visual cortex activity, finding that common benchmarks do not predict neural predictivity performance.
PLoS Computational Biology · May 31, 2024Peer-reviewedNeuroscience