Department of Engineering Science and Mechanics, Pennsylvania State University, University Park, PA 16802.
Materials Science and Engineering Program, University of Houston, Houston, TX 77204.
Proc Natl Acad Sci U S A. 2022 Jun 7;119(23):e2204852119. doi: 10.1073/pnas.2204852119. Epub 2022 Jun 1.
Cephalopod (e.g., squid, octopus, etc.) skin is a soft cognitive organ capable of elastic deformation, visualizing, stealth, and camouflaging through complex biological processes of sensing, recognition, neurologic processing, and actuation in a noncentralized, distributed manner. However, none of the existing artificial skin devices have shown distributed neuromorphic processing and cognition capabilities similar to those of a cephalopod skin. Thus, the creation of an elastic, biaxially stretchy device with embedded, distributed neurologic and cognitive functions mimicking a cephalopod skin can play a pivotal role in emerging robotics, wearables, skin prosthetics, bioelectronics, etc. This paper introduces artificial neuromorphic cognitive skins based on arrayed, biaxially stretchable synaptic transistors constructed entirely out of elastomeric materials. Systematic investigation of the synaptic characteristics such as the excitatory postsynaptic current, paired-pulse facilitation index of the biaxially stretchable synaptic transistor under various levels of biaxial mechanical strain sets the operational foundation for stretchy distributed synapse arrays and neuromorphic cognitive skin devices. The biaxially stretchy arrays here achieved neuromorphic cognitive functions, including image memorization, long-term memorization, fault tolerance, programming, and erasing functions under 30% biaxial mechanical strain. The stretchy neuromorphic imaging sensory skin devices showed stable neuromorphic pattern reinforcement performance under both biaxial and nonuniform local deformation.
头足类(例如鱿鱼、章鱼等)的皮肤是一种柔软的认知器官,能够通过复杂的生物感应、识别、神经处理和驱动过程,以非集中式、分布式的方式实现弹性变形、可视化、隐形和伪装。然而,现有的任何人工皮肤设备都没有表现出头足类皮肤那样的分布式神经形态处理和认知能力。因此,创建一种具有弹性、双向拉伸的设备,其中嵌入分布式神经和认知功能,模仿头足类皮肤,可以在新兴的机器人技术、可穿戴设备、皮肤假肢、生物电子学等领域发挥关键作用。本文介绍了基于阵列式、双向可拉伸突触晶体管的人工神经形态认知皮肤,这些晶体管完全由弹性材料构建。对双向可拉伸突触晶体管在不同双向机械应变水平下的突触特性(例如兴奋性突触后电流、双脉冲易化指数)进行系统研究,为可拉伸分布式突触阵列和神经形态认知皮肤设备奠定了操作基础。这里的双向可拉伸阵列实现了神经形态认知功能,包括在 30%的双向机械应变下的图像记忆、长期记忆、容错、编程和擦除功能。可拉伸的神经形态成像感应皮肤设备在双向和非均匀局部变形下都表现出稳定的神经形态模式增强性能。