Brain hierarchy score: Which deep neural networks are hierarchically brain-like?

ABSTRACT: Achievement of human-level image recognition by deep neural networks (DNNs) has spurred interest in whether and how DNNs are brain-like. Both DNNs and the visual cortex perform hierarchical processing, and correspondence has been shown between hierarchical visual areas and DNN layers in representing visual features. Here, we propose the brain hierarchy (BH) score as a metric to quantify the degree of hierarchical correspondence based on neural decoding and encoding analyses where DNN unit activations and human brain activity are predicted from each other. We find that BH scores for 29 pre-trained DNNs with various architectures are negatively correlated with image recognition performance, thus indicating that recently developed high-performance DNNs are not necessarily brain-like. Experime

SUBMITTER: Nonaka S 

PROVIDER: S-EPMC8426272 | biostudies-literature | 2021 Sep

REPOSITORIES: biostudies-literature