Bibliography (11):

1. Syntactic Structure from Deep Learning

2. Placing language in an integrated understanding system: Next steps toward human-level performance in neural language models

3. Direct Fit to Nature: An Evolutionary Perspective on Biological and Artificial Neural Networks

4. Long-range and hierarchical language predictions in brains and algorithms

5. Fine-tuning of deep language models as a computational framework of modeling listeners’ perspective during language comprehension

6. Brains and algorithms partially converge in natural language processing

7. Inducing brain-relevant bias in natural language processing models

8. Neurons learn by predicting future activity

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

10. Prefrontal cortex as a meta-reinforcement learning system

11. Wikipedia Bibliography:

    1. https://en.wikipedia.org/wiki/Electrocorticography  :

       https://en.wikipedia.org/wiki/Electrocorticography