| Literature DB >> 30252955 |
Hanlin Wang1,2, Qiang Zhao1,2, Zhenjie Ni1, Qingyuan Li1,2, Hongtao Liu1, Yunchang Yang1,2, Lifeng Wang1, Yang Ran1,2, Yunlong Guo1, Wenping Hu1, Yunqi Liu1.
Abstract
Human eyes undertake the majority of information assimilation for learning and memory. Transduction of the color and intensity of the incident light into neural signals is the main process for visual perception. Besides light-sensitive elements that function as rods and cones, artificial retinal systems require neuromorphic devices to transform light stimuli into post-synaptic signals. In terms of plasticity timescale, synapses with short-term plasticity (STP) and long-term potentiation (LTP) represent the neural foundation for experience acquisition and memory formation. Currently, electrochemical transistors are being researched as STP-LTP devices. However, their LTP timescale is confined to a second-to-minute level to give unreliable non-volatile memory. This issue limits multiple-plasticity synapses with tunable temporal characteristics and efficient sensory-memory systems. Herein, a ferroelectric/electrochemical modulated organic synapse is proposed, attaining three prototypes of plasticity: STP/LTP by electrochemical doping/de-doping and ferroelectric-LTP from dipole switching. The device supplements conventional electrochemical transistors with 10000-second-persistent non-volatile plasticity and unique threshold switching properties. As a proof-of-concept for an artificial visual-perception system, an ultraflexible, light-triggered organic neuromorphic device (LOND) is constructed by this synapse. The LOND transduces incident light signals with different frequency, intensity, and wavelength into synaptic signals, both volatile and non-volatile.Entities:
Keywords: artificial retina; electrochemical transistor; ferroelectric; organic synapse; visual perception
Year: 2018 PMID: 30252955 DOI: 10.1002/adma.201803961
Source DB: PubMed Journal: Adv Mater ISSN: 0935-9648 Impact factor: 30.849