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这篇文章主要探讨了神经流形这一框架如何描述大脑生成动物行为的过程。文章提出，尽管动物行为源于大量神经元的协调活动，但这种活动表现出低维结构，这种结构即是神经流形。神经流形被定义为一个低维表面，它捕捉了在生物物理和行为约束下，神经元群体的所有可能集体状态，并被视为一种有意义的生物实体。作者探讨了神经流形与行为之间的关联，并讨论了如何利用计算模型（如循环神经网络）和因果操纵（如光遗传学）来验证和探索神经流形在不同时间尺度（如学习、发育和进化）上的特性和出现原因。References: Perich M G, Narain D, Gallego J A. A neural manifold view of the brain[J]. Nature Neuroscience, 2025: 1-16.
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