Issue 19, 2022

Lead-free AgBiI4 perovskite artificial synapses for a tactile sensory neuron system with information preprocessing function

Abstract

Organometal halide perovskites (OHPs) exhibit great potential in memristors and artificial synaptic devices. However, the toxicity of lead and instability set barriers for further applications in neuromorphic computing. Herein, we demonstrate an artificial synapse based on inorganic lead-free AgBiI4 perovskites, which exhibits typical analog resistive switching (RS) characteristics and synaptic behaviors. Several functions of biological synapses are realized including long-term potentiation (LTP), long-term depression (LTD), paired-pulse facilitation (PPF) and spike-timing-dependent plasticity (STDP). Furthermore, by integrating a tactile sensor array with a AgBiI4 synaptic device, an artificial sensory neuron system is demonstrated. Under pressure stimulations with various intensities, an electrical pre-synaptic signal is transferred to artificial synapses for further information preprocessing, realizing the capability of contrast enhancement and noise reduction. After information preprocessing with an artificial sensory neuron system, the recognition accuracy reaches up to almost 100% with only 500 training epochs by using the MNIST handwritten data set. The presented work provides a new candidate for the next generation of neuromorphic computation based on lead free perovskites.

Graphical abstract: Lead-free AgBiI4 perovskite artificial synapses for a tactile sensory neuron system with information preprocessing function

Supplementary files

Article information

Article type
Paper
Submitted
12 Jun 2022
Accepted
28 Jul 2022
First published
29 Jul 2022
This article is Open Access
Creative Commons BY-NC license

Mater. Adv., 2022,3, 7248-7256

Lead-free AgBiI4 perovskite artificial synapses for a tactile sensory neuron system with information preprocessing function

H. Ye, Z. Liu, H. Han, T. Shi and G. Liao, Mater. Adv., 2022, 3, 7248 DOI: 10.1039/D2MA00675H

This article is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported Licence. You can use material from this article in other publications, without requesting further permission from the RSC, provided that the correct acknowledgement is given and it is not used for commercial purposes.

To request permission to reproduce material from this article in a commercial publication, 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 commercial 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