Cao & Yamins (2024)

Entities in the same semantic neighborhood but without a typed relation to this one — candidates for new edges or unrecognized duplicates.

• Yamins et al. (2014)concept0.826
  Showed that performance-optimized neural networks align with biological brain representations in higher visual cortex
• Antonello & Huth (2024)concept0.688
  Posited that generality of representations rather than particular task explains alignment with biological representations
• Richens & Everitt (2024)concept0.676
  Showed robust agents learn causal world models; related to PRH claim about convergence to reality model
• Abrini et al. 2025concept0.674
  Recent ToM in AI work cited as emphasizing inference of others' beliefs, contrasted with this paper's self-focus
• Zimmermann et al. (2021)concept0.665
  Showed contrastive learning inverts the data generating process; supports claim that contrastive learners recover statistics of underlying world
• Sorscher et al. (2022)concept0.656
  Showed word embeddings of visual concept names can be isometrically mapped to image embeddings, and developed framework for efficient concept extraction
• Dravid et al. (2023)concept0.654
  Found Rosetta Neurons — neurons activated by same patterns across diverse vision models