Author

Zezhao Wu

Mortimer B. Zuckerman Mind Brain Behavior Institute

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Approach:machine learning (classical)· 1 Approach:statistical model· 1

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Mingsha ZhangiD· 1 shared Ning Qian AiD· 1 shared

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2026-2026 · peak 1/yr

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Mingsha ZhangORCID

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NeurosciencebioRxivPreprintOct 5, 2026

Learning continuous updating and control of neural population activities from sparse time samples

Zezhao Wu, Mingsha Zhang, Ning Qian A

This paper trains neural networks to continuously update and control neural population activities using sparse time samples and a continuity equation loss, without requiring full time courses.

DOI 10.64898/2026.09.28.754781

statistical modelmachine learning (classical)

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