Picower Institute for Learning & Memory, Massachusetts Institute of Technology, Cambridge, MA, USA; Computational and Systems Biology Program, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Brain & Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
Picower Institute for Learning & Memory, Massachusetts Institute of Technology, Cambridge, MA, USA; Department of Brain & Cognitive Sciences, Massachusetts Institute of Technology, Cambridge, MA, USA.
Cell. 2023 Sep 14;186(19):4134-4151.e31. doi: 10.1016/j.cell.2023.07.035. Epub 2023 Aug 21.
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.
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,神经元如何编码行为以及状态如何影响行为仍知之甚少。我们记录了自由移动的秀丽隐杆线虫的全脑活动和多样化的运动程序,并构建了概率模型,解释了每个神经元如何编码定量的行为特征。通过确定记录神经元的身份,我们创建了一个秀丽隐杆线虫连接组中定义的神经元类如何编码行为的图谱。许多神经元类对多种行为具有结合的表示。此外,尽管许多神经元编码当前的运动动作,但其他神经元则整合最近的动作。行为状态的变化伴随着神经元编码行为方式的广泛变化,我们在连接组中确定了这些灵活的节点。我们的研究结果提供了一个动物大脑中细胞类型如何编码其行为的全局图谱。