能够感知环境、感知编码和生物刺激的感知-超形态接口

SmartMat Pub Date : 2024-05-16 DOI:10.1002/smm2.1290
Lin Sun, Yi Du, Zichen Zhang, Siru Qin, Zixian Wang, Yue Li, Shangda Qu, Zhifang Xu, Yi Guo, Wentao Xu
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引用次数: 0

摘要

感觉-超形态接口是神经形态电子学应用的关键。人工尖峰神经元和人工感觉神经已经被制造出来,一些研究显示,通过与突触电子器件的结合,可以形成一个完整的神经形态系统。然而,人工突触设备和系统通常无法在真实环境中工作,这限制了它们提供逼真神经模拟和与生物神经接口的能力。我们报告了一种使用纤维突触来模拟生物传入神经的感知-超形态接口。这是首次将感知-超拟态接口连接到活体生物体上进行外周神经刺激,使生物体能够与其周围环境建立联系。该接口将感知到的环境信息转换成模拟电信号,然后再转换成频率相关的脉冲信号,从而简化了传感器与脉冲数据处理中心之间的信息接口。在不同的刺激强度下,接口的频率与应变振幅呈亚线性关系,并能在可能造成伤害的刺激强度下产生频率增加的尖峰脉冲,类似于生物传入神经的反应。为了验证该接口的应用,我们在传入神经回路的基础上构建了一个系统,用于监测应变并发出过度应变警报。该系统的响应时间小于 2 毫秒,与生物系统的响应时间一致。该界面可以扩展到处理来自几乎任何类型传感器的信号,用于其他传入感官,这些成果证明了神经形态界面应用于仿生感官界面的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A sensory–neuromorphic interface capable of environmental perception, sensory coding, and biological stimuli
The sensory–neuromorphic interface is key to the application of neuromorphic electronics. Artificial spiking neurons and artificial sensory nerves have been created, and a few studies showed a complete neuromorphic system through cointegration with synaptic electronics. However, artificial synaptic devices and systems often do not work in real environments, which limits their ability to provide realistic neural simulations and interface with biological nerves. We report a sensory–neuromorphic interface that uses a fiber synapse to emulate a biological afferent nerve. For the first time, a sensing–neuromorphic interface is connected to a living organism for peripheral nerve stimulation, allowing the organism to establish a connection with its surrounding environment. The interface converts perceived environmental information into analog electrical signals and then into frequency‐dependent pulse signals, which simplify the information interface between the sensor and the pulse‐data processing center. The frequency of the interface shows a sublinear dependence on strain amplitude at different stimulus intensities, and can deliver increased frequency spikes at potentially damaging stimulus intensities, similar to the response of biological afferent nerves. To verify the application of this interface, a system that monitors strain and provides an overstrain alarm was constructed based on this afferent neural circuit. The system has a response time of <2 ms, which is compatible with the response time in biological systems. The interface can be potentially extended to process signals from almost any type of sensors for other afferent senses, and these results demonstrate the potential for neuromorphic interfaces to be applied to bionic sensory interfaces.
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