Bisio Marta, Pimashkin Alexey, Buccelli Stefano, Tessadori Jacopo, Semprini Marianna, Levi Timothée, Colombi Ilaria, Gladkov Arseniy, Mukhina Irina, Averna Alberto, Kazantsev Victor, Pasquale Valentina, Chiappalone Michela
Department of Neurosciences, University of Padova, Padova, Italy.
Department of Neurotechnologies, Lobachevsky State University of Nizhni Novgorod, Nizhnij Novgorod, Russia.
Adv Neurobiol. 2019;22:351-387. doi: 10.1007/978-3-030-11135-9_15.
One of the main limitations preventing the realization of a successful dialogue between the brain and a putative enabling device is the intricacy of brain signals. In this perspective, closed-loop in vitro systems can be used to investigate the interactions between a network of neurons and an external system, such as an interacting environment or an artificial device. In this chapter, we provide an overview of closed-loop in vitro systems, which have been developed for investigating potential neuroprosthetic applications. In particular, we first explore how to modify or set a target dynamical behavior in a network of neurons. We then analyze the behavior of in vitro systems connected to artificial devices, such as robots. Finally, we provide an overview of biological neuronal networks interacting with artificial neuronal networks, a configuration currently offering a promising solution for clinical applications.
阻碍实现大脑与假定的辅助装置之间成功对话的主要限制之一是大脑信号的复杂性。从这个角度来看，闭环体外系统可用于研究神经元网络与外部系统之间的相互作用，例如交互式环境或人工装置。在本章中，我们概述了为研究潜在的神经假体应用而开发的闭环体外系统。特别是，我们首先探讨如何在神经元网络中修改或设定目标动态行为。然后，我们分析连接到人工装置（如机器人）的体外系统的行为。最后，我们概述了生物神经元网络与人工神经元网络的相互作用，这种配置目前为临床应用提供了一个有前景的解决方案。
