小柯机器人

美国麻省理工学院Steven W. Flavell课题组报道了秀丽隐杆线虫跨多时间尺度和状态行为的全脑表征。相关论文于2023年8月21日发表于国际学术期刊《细胞》杂志。

研究人员记录了自由运动秀丽隐杆线虫的全脑活动和各种运动程序，并建立了解释每个神经元如何编码定量行为特征的概率模型。通过确定记录神经元的身份，研究人员创建了一个图谱，记录了秀丽隐杆线虫连接组中确定的神经元如何编码行为。许多神经元种类具有多种行为的综合表示。

此外，尽管许多神经元编码当前的运动动作，但其他神经元整合了最近的行为动作。行为状态的变化伴随着神经元编码行为方式的广泛变化，研究人员在连接组中识别了这些灵活的节点。该研究结果提供了动物大脑中细胞类型如何编码其行为的全脑图谱。

据悉，动物行为和内部状态的变化伴随着其大脑活动的广泛变化。然而，对大脑中神经元如何编码行为以及它受状态的影响知之甚少。

附：英文原文

Title: Brain-wide representations of behavior spanning multiple timescales and states in C. elegans

Author: Adam A. Atanas, Jungsoo Kim, Ziyu Wang, Eric Bueno, McCoy Becker, Di Kang, Jungyeon Park, Talya S. Kramer, Flossie K. Wan, Saba Baskoylu, Ugur Dag, Elpiniki Kalogeropoulou, Matthew A. Gomes, Cassi Estrem, Netta Cohen, Vikash K. Mansinghka, Steven W. Flavell

Issue&Volume: 2023-08-21

Abstract: Changes in an animal’s behavior and internal state are accompanied by widespread changes in activity across its brain. However, how neurons across the brain encode behavior and how this is impacted by state is poorly understood. We recorded brain-wide activity and the diverse motor programs of freely moving C. elegans and built probabilistic models that explain how each neuron encodes quantitative behavioral features. By determining the identities of the recorded neurons, we created an atlas of how the defined neuron classes in the C. elegans connectome encode behavior. Many neuron classes have conjunctive representations of multiple behaviors. Moreover, although many neurons encode current motor actions, others integrate recent actions. Changes in behavioral state are accompanied by widespread changes in how neurons encode behavior, and we identify these flexible nodes in the connectome. Our results provide a global map of how the cell types across an animal’s brain encode its behavior.

DOI: 10.1016/j.cell.2023.07.035

Source: https://www.cell.com/cell/fulltext/S0092-8674(23)00850-4