Stretchable hierarchical metal wire networks for neuromorphic emulation of nociception and anti-nociception.

IF 12.2 2区 材料科学 Q1 CHEMISTRY, MULTIDISCIPLINARY Materials Horizons Pub Date : 2024-11-04 DOI:10.1039/d4mh01208a
Bhupesh Yadav, Indrajit Mondal, Manpreet Kaur, Vidhyadhiraja N S, Giridhar U Kulkarni
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Abstract

Among biomimetic technologies, the incorporation of sensory hardware holds exceptional utility in human-machine interfacing. In this context, devices receptive to nociception and emulating antinociception gain significance as part of pain management. Here we report, a stretchable two-terminal resistive neuromorphic device consisting of a hierarchical Ag microwire network formed using a crack templating protocol. The device demonstrates sensitivity to strain, where the application of strain induces the formation of gaps across active elements, rendering the device electrically open. Following activation by voltage pulses, the device exhibits potentiated states with finite retentions arising from filamentary growth across these gaps due to field migration. Remarkably, the strain-induced functioning alongside controllable gaps enables achieving user-controlled neuromorphic properties, desired for self-adaptive intelligent systems. Interestingly, in the neuromorphic potentiated state, the response to strain is enhanced by ∼106 due to higher sensitivities associated with nanofilaments. The device emulates basic neuromorphic functionalities such as threshold switching, and short-term (STP) and long-term potentiations (LTP). Furthermore, the sensitivity has been exploited in mimicking nociception through strain-induced changes in the potentiated state. Interestingly, repetition of the strain stimulus leads to endurance making the device restore its conductance, thereby emulating adaptation and habituation representing the antinociceptive behavior.

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用于神经形态模拟痛觉和反痛觉的可拉伸分层金属丝网络。
在生物仿生技术中,感官硬件的结合在人机接口方面具有特殊的用途。在这种情况下,可接受痛觉和模拟抗痛觉的装置作为疼痛治疗的一部分就显得尤为重要。在此,我们报告了一种可拉伸的双端电阻神经形态设备,该设备由分层银微线网络组成,采用裂缝模板协议形成。该器件对应变非常敏感,施加应变可诱导有源元件之间形成间隙,从而使器件具有电开放性。通过电压脉冲激活后,该器件呈现出电位增强状态,由于场迁移,这些间隙中的丝状生长产生了有限的保持力。值得注意的是,应变引起的功能与可控间隙一起实现了用户控制的神经形态特性,这正是自适应智能系统所需要的。有趣的是,在神经形态增效状态下,由于纳米纤丝具有更高的灵敏度,对应变的响应增强了 106 ∼106。该装置模拟了神经形态的基本功能,如阈值切换、短期(STP)和长期(LTP)电位。此外,这种灵敏度还被用于通过应变诱导的电位状态变化来模拟痛觉。有趣的是,重复应变刺激会导致耐力,使设备恢复其电导,从而模拟代表抗痛觉行为的适应和习惯。
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来源期刊
Materials Horizons
Materials Horizons CHEMISTRY, MULTIDISCIPLINARY-MATERIALS SCIENCE, MULTIDISCIPLINARY
CiteScore
18.90
自引率
2.30%
发文量
306
审稿时长
1.3 months
期刊介绍: Materials Horizons is a leading journal in materials science that focuses on publishing exceptionally high-quality and innovative research. The journal prioritizes original research that introduces new concepts or ways of thinking, rather than solely reporting technological advancements. However, groundbreaking articles featuring record-breaking material performance may also be published. To be considered for publication, the work must be of significant interest to our community-spanning readership. Starting from 2021, all articles published in Materials Horizons will be indexed in MEDLINE©. The journal publishes various types of articles, including Communications, Reviews, Opinion pieces, Focus articles, and Comments. It serves as a core journal for researchers from academia, government, and industry across all areas of materials research. Materials Horizons is a Transformative Journal and compliant with Plan S. It has an impact factor of 13.3 and is indexed in MEDLINE.
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