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大脑的神经流形视角。

A neural manifold view of the brain.

作者信息

Perich Matthew G, Narain Devika, Gallego Juan A

机构信息

Département de neurosciences, Faculté de médecine, Université de Montréal, Montreal, Quebec, Canada.

Mila - Quebec Artificial Intelligence Institute, Montreal, Quebec, Canada.

出版信息

Nat Neurosci. 2025 Jul 28. doi: 10.1038/s41593-025-02031-z.

Abstract

Animal behavior arises from the coordinated activity of neural populations that span the entire brain. The activity of large neural populations from an increasing number of brain regions, behaviors and species shows low-dimensional structure. We posit that this structure arises as a result of neural manifolds. Neural manifolds are mathematical descriptions of a meaningful biological entity: the possible collective states of a population of neurons given the constraints, both intrinsic (for example, connectivity) and extrinsic (for example, behavior), to the neural circuit. Here, we explore the link between neural manifolds and behavior, and discuss the insights that the neural manifold framework can provide into brain function. To conclude, we explore existing conceptual gaps in this framework and discuss their implications when building an integrative view of brain function. We thus position neural manifolds as a crucial framework with which to describe how the brain generates behavior.

摘要

动物行为源于遍布整个大脑的神经群体的协同活动。来自越来越多脑区、行为和物种的大量神经群体的活动呈现出低维结构。我们假定这种结构是神经流形的结果。神经流形是对一个有意义的生物实体的数学描述:即给定神经回路的内在(例如,连接性)和外在(例如,行为)约束条件下,一群神经元可能的集体状态。在这里,我们探讨神经流形与行为之间的联系,并讨论神经流形框架能够为脑功能提供的见解。最后,我们探讨该框架中现有的概念空白,并讨论在构建脑功能的综合观点时它们的影响。因此,我们将神经流形定位为描述大脑如何产生行为的关键框架。

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