Frequency-dependent learning achieved using semiconducting polymer/electrolyte composite cells-Reference-Cited by-同舟云学术

Frequency-dependent learning achieved using semiconducting polymer/electrolyte composite cells

Published:2015 Issue:40 Volume:7 Page:16880-16889
ISSN:2040-3364
Container-title:Nanoscale
language:en
Short-container-title:Nanoscale

Author:

Dong W. S.¹²³⁴⁵,Zeng F.¹²³⁴⁵,Lu S. H.¹²³⁴⁵,Liu A.¹²³⁴,Li X. J.¹²³⁴⁵,Pan F.¹²³⁴

Affiliation:

1. Laboratory of Advanced Materials (MOE)

2. School of Materials Science and Engineering

3. Tsinghua University

4. Beijing 100084, People's Republic of China

5. Center for Brain Inspired Computing Research (CBICR)

Abstract

Frequency-dependent learning has been achieved using semiconducting polymer/electrolyte composite cells, which realized conventional spike-rate-dependent plasticity learning protocol.

Publisher

Royal Society of Chemistry (RSC)

Subject

General Materials Science

Link

http://pubs.rsc.org/en/content/articlepdf/2015/NR/C5NR02891D

Reference48 articles.

1. P. Sheridan and W.Lu , in Memristor Networks , ed. A. Adamatzky and L. Chua , Springer , Cham, Heidelberg, New York, Dordrecht, London , 2014 , p. 129

2. Nanoscale Memristor Device as Synapse in Neuromorphic Systems

3. Memristive devices for computing

4. On Spike-Timing-Dependent-Plasticity, Memristive Devices, and Building a Self-Learning Visual Cortex

5. Nanoscale resistive switching devices: mechanisms and modeling

Cited by 25 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Organic and perovskite memristors for neuromorphic computing;Organic Electronics;2021-11

2. Materials Strategies for Organic Neuromorphic Devices;Annual Review of Materials Research;2021-07-26

3. Organic electronic synapses with low energy consumption;Joule;2021-04

4. Mimicking efferent nerves using a graphdiyne-based artificial synapse with multiple ion diffusion dynamics;Nature Communications;2021-02-16

5. A conversion-type electrochemical artificial synapse for plasticity modulation and dendritic application;Materials Chemistry Frontiers;2021