Zhao Mengdi, Wang Ning, Jiang Xinrui, Ma Xiaoyang, Ma Haixin, He Gan, Du Kai, Ma Lei, Huang Tiejun
Beijing Academy of Artificial Intelligence, Beijing, China.
National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University, Beijing, China.
Nat Comput Sci. 2024 Dec;4(12):978-990. doi: 10.1038/s43588-024-00738-w. Epub 2024 Dec 16.
The behavior of an organism is influenced by the complex interplay between its brain, body and environment. Existing data-driven models focus on either the brain or the body-environment. Here we present BAAIWorm, an integrative data-driven model of Caenorhabditis elegans, which consists of two submodels: the brain model and the body-environment model. The brain model was built by multicompartment models with realistic morphology, connectome and neural population dynamics based on experimental data. Simultaneously, the body-environment model used a lifelike body and a three-dimensional physical environment. Through the closed-loop interaction between the two submodels, BAAIWorm reproduced the realistic zigzag movement toward attractors observed in C. elegans. Leveraging this model, we investigated the impact of neural system structure on both neural activities and behaviors. Consequently, BAAIWorm can enhance our understanding of how the brain controls the body to interact with its surrounding environment.
生物体的行为受到其大脑、身体和环境之间复杂相互作用的影响。现有的数据驱动模型要么侧重于大脑，要么侧重于身体与环境。在此，我们展示了BAAIWorm，一种秀丽隐杆线虫的综合数据驱动模型，它由两个子模型组成：大脑模型和身体 - 环境模型。大脑模型是通过基于实验数据的具有真实形态、连接组和神经群体动力学的多房室模型构建的。同时，身体 - 环境模型使用了逼真的身体和三维物理环境。通过两个子模型之间的闭环相互作用，BAAIWorm再现了秀丽隐杆线虫中观察到的朝向吸引子的逼真曲折运动。利用这个模型，我们研究了神经系统结构对神经活动和行为的影响。因此，BAAIWorm可以增进我们对大脑如何控制身体与周围环境相互作用的理解。
