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Artificial intelligence meets body sense: task-driven neural networks reveal computational principles of the proprioceptive pathway
Signal Transduction and Targeted Therapy ( IF 40.8 ) Pub Date : 2024-07-08 , DOI: 10.1038/s41392-024-01870-9
Leonard E van Dyck 1, 2 , Frank Bremmer 3, 4 , Katharina Dobs 1, 3
Affiliation  

In a recent study published in Cell, Marin Vargas and Bisi et al.1 present an innovative approach to unravel the computational principles underlying proprioceptive processing in non-human primates. Their findings showcase the utility of task-driven modeling in advancing neuroscience and offer translational potential by providing seminal insights into the goals and mechanisms by which the brain encodes body position and movements.



中文翻译:


人工智能遇见身体感觉:任务驱动的神经网络揭示本体感受通路的计算原理



Marin Vargas 和 Bisi 等人最近发表在《Cell》杂志上的一项研究中。 1提出了一种创新方法来阐明非人类灵长类动物本体感觉处理的计算原理。他们的研究结果展示了任务驱动模型在推进神经科学方面的实用性,并通过提供对大脑编码身体位置和运动的目标和机制的开创性见解,提供了转化潜力。

更新日期:2024-07-08
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