Department of Electrical Engineering, Stanford University, Stanford, CA, USA.
Department of Materials Science and Engineering, Stanford University, Stanford, CA, USA.
Science. 2018 Jun 1;360(6392):998-1003. doi: 10.1126/science.aao0098.
The distributed network of receptors, neurons, and synapses in the somatosensory system efficiently processes complex tactile information. We used flexible organic electronics to mimic the functions of a sensory nerve. Our artificial afferent nerve collects pressure information (1 to 80 kilopascals) from clusters of pressure sensors, converts the pressure information into action potentials (0 to 100 hertz) by using ring oscillators, and integrates the action potentials from multiple ring oscillators with a synaptic transistor. Biomimetic hierarchical structures can detect movement of an object, combine simultaneous pressure inputs, and distinguish braille characters. Furthermore, we connected our artificial afferent nerve to motor nerves to construct a hybrid bioelectronic reflex arc to actuate muscles. Our system has potential applications in neurorobotics and neuroprosthetics.
躯体感觉系统中的受体、神经元和突触的分布式网络能够有效地处理复杂的触觉信息。我们使用灵活的有机电子来模拟感觉神经的功能。我们的人工传入神经从压力传感器簇中收集压力信息(1 到 80 千帕),通过环形振荡器将压力信息转换为动作电位(0 到 100 赫兹),并使用突触晶体管对来自多个环形振荡器的动作电位进行整合。仿生分层结构可以检测物体的运动,组合同时的压力输入,并区分盲文字符。此外,我们将我们的人工传入神经连接到运动神经上,构建了一个混合生物电子反射弧来驱动肌肉。我们的系统在神经机器人技术和神经假肢技术中有潜在的应用。