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神经形态液体、胶体和凝胶:综述。

Neuromorphic Liquids, Colloids, and Gels: A Review.

机构信息

Unconventional Computing Laboratory, UWE, Bristol, UK.

Center for Bioinspired Soft Robotics, Istituto Italiano di Tecnologia, Genova, Italy.

出版信息

Chemphyschem. 2023 Jan 3;24(1):e202200390. doi: 10.1002/cphc.202200390. Epub 2022 Oct 20.

Abstract

Advances in flexible electronic devices and robotic software require that sensors and controllers be virtually devoid of traditional electronic components, be deformable and stretch-resistant. Liquid electronic devices that mimic biological synapses would make an ideal core component for flexible liquid circuits. This is due to their unbeatable features such as flexibility, reconfiguration, fault tolerance. To mimic synaptic functions in fluids we need to imitate dynamics and complexity similar to those that occurring in living systems. Mimicking ionic movements are considered as the simplest platform for implementation of neuromorphic in material computing systems. We overview a series of experimental laboratory prototypes where neuromorphic systems are implemented in liquids, colloids and gels.

摘要

在柔性电子设备和机器人软件方面的进步要求传感器和控制器几乎不含传统电子元件,具有可变形和抗拉伸性。模拟生物突触的液态电子设备将成为柔性液态电路的理想核心组件。这是因为它们具有无与伦比的特点,如灵活性、可重构性、容错性。为了在液体中模拟突触功能,我们需要模仿类似于生物系统中发生的动态和复杂性。模拟离子运动被认为是在材料计算系统中实现神经形态的最简单平台。我们概述了一系列在液体、胶体和凝胶中实现神经形态系统的实验性实验室原型。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9c90/10092099/38d2e5bf23e2/CPHC-24-0-g005.jpg

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