A three-dimensional micro-instrumented neural network device

doi:10.1038/s41928-026-01608-1

2026-04-23

PRE

Kumar Mritunjay

James C. Sturm *

Tian-Ming Fu *

DOI：10.1038/s41928-026-01608-1

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摘要

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三维（3D）培养的神经网络，能够模拟大脑的结构和计算原理，可用于开发类脑计算和人工智能，以及理解神经发育和疾病进展。然而，创建此类稳定的器件-神经网络接口仍具挑战性，限制了这类三维神经网络的潜力。本文报道了一种三维微仪化的神经网络器件，其中三维柔性电子传感器和刺激器阵列与三维培养的神经网络集成。我们的器件可用于在6个月内从多个平面记录动作电位，实现对神经网络演变连接图和药理学刺激反应的定量监测。该方法还支持慢性电刺激，我们利用它通过调整神经元间的连接强度来训练神经网络，构建用于生物计算的储备神经网络。与三维培养的神经网络集成的三维柔性电子传感器和刺激器阵列，可用于在6个月内从多个平面记录动作电位，监测演变连接图和药理学反应，以及构建用于生物计算的储备神经网络。

Keyword:

3D neural network

flexible electronic sensor

neural connectivity

biocomputing

chronic stimulation

期刊

Nature Electronics

IF:

40.9

论文数:

1.7K

被引数:

2.1W

机构

princeton university

学者数:

3.2K

论文数: 1.6K

被引数: 0

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