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基于生物启发的伤害感受器和触觉机械感受器协同作用的锐度识别。

Sharpness recognition based on synergy between bio-inspired nociceptors and tactile mechanoreceptors.

机构信息

Medical Biology Research Center, Institute of Health Technology, Kermanshah University of Medical Sciences, Kermanshah, Iran.

Medical Technology Research Center, Institute of Health Technology, Kermanshah University of Medical Sciences, Parastar Ave., Kermanshah, Iran.

出版信息

Sci Rep. 2021 Jan 22;11(1):2109. doi: 10.1038/s41598-021-81199-3.

Abstract

Touch and pain sensations are complementary aspects of daily life that convey crucial information about the environment while also providing protection to our body. Technological advancements in prosthesis design and control mechanisms assist amputees to regain lost function but often they have no meaningful tactile feedback or perception. In the present study, we propose a bio-inspired tactile system with a population of 23 digital afferents: 12 RA-I, 6 SA-I, and 5 nociceptors. Indeed, the functional concept of the nociceptor is implemented on the FPGA for the first time. One of the main features of biological tactile afferents is that their distal axon branches in the skin, creating complex receptive fields. Given these physiological observations, the bio-inspired afferents are randomly connected to the several neighboring mechanoreceptors with different weights to form their own receptive field. To test the performance of the proposed neuromorphic chip in sharpness detection, a robotic system with three-degree of freedom equipped with the tactile sensor indents the 3D-printed objects. Spike responses of the biomimetic afferents are then collected for analysis by rate and temporal coding algorithms. In this way, the impact of the innervation mechanism and collaboration of afferents and nociceptors on sharpness recognition are investigated. Our findings suggest that the synergy between sensory afferents and nociceptors conveys more information about tactile stimuli which in turn leads to the robustness of the proposed neuromorphic system against damage to the taxels or afferents. Moreover, it is illustrated that spiking activity of the biomimetic nociceptors is amplified as the sharpness increases which can be considered as a feedback mechanism for prosthesis protection. This neuromorphic approach advances the development of prosthesis to include the sensory feedback and to distinguish innocuous (non-painful) and noxious (painful) stimuli.

摘要

触觉和痛觉是日常生活中相辅相成的两个方面,它们传递着关于环境的关键信息,同时也为我们的身体提供保护。在假肢设计和控制机制方面的技术进步,帮助截肢者重新获得失去的功能,但他们往往没有有意义的触觉反馈或感知。在本研究中,我们提出了一种具有 23 个数字传入的仿生触觉系统:12 个 RA-I、6 个 SA-I 和 5 个伤害感受器。事实上,伤害感受器的功能概念首次在 FPGA 上实现。生物触觉传入的一个主要特征是它们的远端轴突在皮肤中分支,形成复杂的感受野。鉴于这些生理观察,仿生传入纤维被随机连接到几个具有不同权重的相邻机械感受器上,以形成它们自己的感受野。为了测试所提出的神经形态芯片在锐度检测方面的性能,一个配备有触觉传感器的三自由度机器人系统对 3D 打印物体进行压痕。然后,通过率和时间编码算法收集仿生传入纤维的尖峰响应进行分析。通过这种方式,研究了传入神经机制和传入纤维与伤害感受器的协同作用对锐度识别的影响。我们的研究结果表明,感觉传入纤维和伤害感受器之间的协同作用传递了更多关于触觉刺激的信息,这反过来又使所提出的神经形态系统对税元和传入纤维的损伤具有更强的鲁棒性。此外,还说明了随着锐度的增加,仿生伤害感受器的尖峰活动被放大,这可以被认为是假肢保护的反馈机制。这种神经形态方法推进了假肢的发展,使其包括感觉反馈,并区分无害(无痛)和有害(疼痛)刺激。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/ea9e/7822817/2a977d1206be/41598_2021_81199_Fig1_HTML.jpg

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