计算机科学
实现(概率)
闭环
神经科学
集合(抽象数据类型)
透视图(图形)
人工智能
控制工程
生物
工程类
数学
统计
程序设计语言
作者
Marta Bisio,Alexey Pimashkin,Stefano Buccelli,Jacopo Tessadori,Marianna Semprini,Timothée Levi,Ilaria Colombi,Arseniy Gladkov,И.В. Мухина,Alberto Averna,Victor Kazantsev,Valentina Pasquale,Michela Chiappalone
出处
期刊:Advances in neurobiology
日期:2019-01-01
卷期号:: 351-387
被引量:11
标识
DOI:10.1007/978-3-030-11135-9_15
摘要
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.
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