Issue 6, 2019

Fully transparent, flexible and waterproof synapses with pattern recognition in organic environments

Abstract

Artificial intelligence applications require bio-inspired neuromorphic systems that consist of electronic synapses (e-synapses) able to perform learning and memory functions. However, all transparent and flexible organic e-synapses have the disadvantage of being easily dissolvable in water or organic solutions. In the present work, a stable waterproof artificial synapse based on a fully transparent electronic device, suitable for wearable applications in organic environments is for the first time demonstrated. Essential synaptic behaviors, including paired-pulse facilitation (PPF), long-term potentiation/depression (LTP/LTD), and learning–forgetting–relearning, were successfully emulated. The artificial synaptic device could achieve an optical transmittance of ∼87.5% in the visible light range, which demonstrated reliable long-term potentiation/depression under bent states with a bending radius of 5 mm. After being immersed in water and 5 types of common organic solvents for over 12 hours, the e-synapse could function with 6000 spikes without noticeable degradation in the organic environment. The neural network was constructed from e-synapses with controllable weights update and a device-to-system level simulation framework was developed with a recognition rate of 92.4%, which demonstrated the feasibility of highly transparent, biocompatible, flexible, and waterproof e-synapses used in artificial intelligence systems.

Graphical abstract: Fully transparent, flexible and waterproof synapses with pattern recognition in organic environments

Supplementary files

Article information

Article type
Communication
Submitted
23 Maijs 2019
Accepted
10 Jūn. 2019
First published
11 Jūn. 2019

Nanoscale Horiz., 2019,4, 1293-1301

Fully transparent, flexible and waterproof synapses with pattern recognition in organic environments

T. Wang, J. Meng, Z. He, L. Chen, H. Zhu, Q. Sun, S. Ding, P. Zhou and D. W. Zhang, Nanoscale Horiz., 2019, 4, 1293 DOI: 10.1039/C9NH00341J

To request permission to reproduce material from this article, please go to the Copyright Clearance Center request page.

If you are an author contributing to an RSC publication, you do not need to request permission provided correct acknowledgement is given.

If you are the author of this article, you do not need to request permission to reproduce figures and diagrams provided correct acknowledgement is given. If you want to reproduce the whole article in a third-party publication (excluding your thesis/dissertation for which permission is not required) please go to the Copyright Clearance Center request page.

Read more about how to correctly acknowledge RSC content.

Social activity

Spotlight

Advertisements