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OmniMouse Brain Model Trained on 150 Billion Neural Tokens Reveals Unusual Scaling Laws Technology
Artificial Intelligence #ai#brain models

OmniMouse Brain Model Trained on 150 Billion Neural Tokens Reveals Unusual Scaling Laws

Researchers trained OmniMouse, a multi-modal, multi-task brain model, on 150 billion neural tokens from 3.1 million mouse visual cortex neurons. The model achieves state-of-the-art performance across neural prediction, behavioral decoding, and neural forecasting. Scaling analysis shows performance improves with more data but gains from increasing model size saturate, contrasting with language and vision AI.

Jun 17, 2026 1 source