趋同信息流解释了大脑皮层中反复出现的放电模式，这一成果由巴黎-萨克雷神经科学研究所Alain Destexhe研究团队经过不懈努力而取得。相关论文于2025年12月8日发表在《自然—神经科学》杂志上。

相反，研究组表明皮质网络表现出分层模块化，核心神经元作为模块接口的高信息流节点。这些核心汇集活动，但缺乏在吸引子网络中通常发现的模式完成单元的结构特征。使用计算模型，小组发现距离依赖的连接是必要和充分的，以产生模块化和短暂的可重复的事件在皮层中观察到。他们的发现表明，皮层网络是预先配置为支持感觉运动协调的。这项工作重新定义了皮层活动的结构和动态基础，重点是模块结构和功能之间的关系。

研究人员表示，皮层群体事件，短期的神经元活动模式，反复出现的一致性，是中心的感觉运动协调。这些可重复的放电模式通常归因于吸引子动力学，由强相互连通性支持。然而，通过多模态数据集（包括双光子成像、电生理学和电子显微镜），小组发现这些可重复的模式并不涉及紧密相连的神经元。

附：英文原文

Title: Convergent information flows explain recurring firing patterns in cerebral cortex

Author: Guarino, Domenico, Filipchuk, Anton, Destexhe, Alain

Issue&Volume: 2025-12-08

Abstract: Cortical population events, short-lived patterns of neuronal activity that recur with consistency, are central to sensorimotor coordination. These reproducible firing patterns are often attributed to attractor dynamics, supported by strong mutual connectivity. However, by using multimodal datasets—including two-photon imaging, electrophysiology and electron microscopy—we show that these reproducible patterns do not involve strongly interconnected neurons. Instead, we show that cortical networks exhibit hierarchical modularity, with core neurons serving as high-information-flow nodes at module interfaces. These cores funnel activity but lack the structural signatures of pattern-completion units that are typically found in attractor networks. Using computational models, we find that distance-dependent connectivity is necessary and sufficient to produce the modularity and transient reproducible events observed in cortex. Our findings suggest that cortical networks are preconfigured to support sensorimotor coordination. This work redefines the structural and dynamical basis of cortical activity, with a focus on the relationship between modular structure and function.

DOI: 10.1038/s41593-025-02128-5

Source: https://www.nature.com/articles/s41593-025-02128-5