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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.
Oswald Steward and colleagues won the 2026 Kavli Prize in Neuroscience for discovering that neurons can produce proteins near synapses, fundamentally changing understanding of memory and brain plasticity.
Rutgers researchers trace citation hallucination in LLMs to sparse field-specific neurons, showing causal intervention can suppress fake references.
OpenAI proposes using language models (GPT-4) to automatically generate and score explanations for neurons in language models, open-sourcing datasets and tools covering all 307,200 neurons in GPT-2. The work demonstrates iterative and scalable approaches to mechanistic interpretability, though explanation quality still lags behind humans.