hippocampus

Scientists recorded individual neurons in bilingual brains for the first time and found that the brain does not translate words using shared neurons but instead organizes each language into a geometric map of meaning with the same structure, similar to vector space isomorphism in LLMs.

This paper presents CALHippo, a framework for 3D mapping of neurons and glial cells in the human hippocampus using state-of-the-art segmentation and density estimation models.

This position paper argues that integrating explicit memory, analogous to human hippocampal memory, is essential for advancing LLMs toward AGI. It draws on neuroscience to propose that higher-order cognitive functions require explicit memory beyond implicit statistical learning.

Researchers at Baylor College of Medicine discovered that the unconscious human hippocampus can process language and predict words, challenging current views on consciousness. The study, published in Nature, suggests biological parallels to AI predictive coding.