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Geometric stability, a previously overlooked property of neural population codes, reveals critical insights into neural-behavioral coupling that traditional stability measures fail to capture.
Predicting steerability with near-perfect accuracy while detecting drift more effectively than existing methods could transform how we monitor and control language models in real-world applications.
Cells can exhibit large perturbation effects while moving incoherently, revealing hidden regulatory architectures that impact cellular stress responses.
