多电极阵列
人工神经网络
微电极
生物神经网络
信号(编程语言)
神经突
神经干细胞
生物电子学
计算机科学
材料科学
神经科学
纳米技术
体外
人工智能
化学
生物传感器
生物
电极
机器学习
生物化学
干细胞
物理化学
遗传学
程序设计语言
作者
Jinho Yoon,Hyun-Woong Kim,Minkyu Shin,Joungpyo Lim,Jiyoung Lee,Sang‐Nam Lee,Jeong‐Woo Choi
标识
DOI:10.1002/smtd.202200127
摘要
There have been several studies for demonstration of 2D neural network using living cells or organic/inorganic molecules, but to date, there is no report of development of a 3D neural network in vitro. Based on developed bionanohybrid composed of protein, DNA, molybdenum disulfide nanoparticles, and peptides for controlling electrophysiological states of living cells, here, the in vitro 3D neural network composed of the bionanohybrid, 3D neurospheroid and the microelectrode array (MEA) is developed. After production of the 3D neurospheroid derived from human neural stem cells, the bionanohybrid developed on the MEA successfully semi-penetrates the neurites of the 3D neurospheroid and forms the 3D neural network. The developed 3D neural network successfully exhibited the electrophysiological output signals of the 3D neurospheroid by transmitting the input signal applied by the bionanohybrid. Moreover, by using the selectively immobilized bionanohybrid on the MEA, the spatial input signal recognition in the neurospheroid of 3D neural network is realized for the first time. This newly developed in vitro 3D neural network provides a promising strategy to be applied in brain-on-a-chip, brain disease-related drug efficacy evaluation, bioelectronics, and bioelectronic medicine.
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