Bibliography (11):

1. 2022-grand.pdf#page=6

2. Geometry of abstract learned knowledge in the hippocampus

3. The neural architecture of language: Integrative reverse-engineering converges on a model for predictive processing

4. A mathematical theory of semantic development in deep neural networks

5. Can Language Models Encode Perceptual Structure Without Grounding? A Case Study in Color

6. Implicit Representations of Meaning in Neural Language Models

7. Discovering objects and their relations from entangled scene representations

8. Shared computational principles for language processing in humans and deep language models

9. Deep contextualized word representations

10. Wikipedia Bibliography:

    1. Word embedding

    2. GloVe