A PHP Error was encountered

Severity: Warning

Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests

Filename: helpers/my_audit_helper.php

Line Number: 176

Backtrace:

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url

File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML

File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global

File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword

File: /var/www/html/index.php
Line: 316
Function: require_once

Multi-gate memristive synapses realized with the lateral heterostructure of 2D WSe and WO. | LitMetric

Multi-gate memristive synapses realized with the lateral heterostructure of 2D WSe and WO.

Nanoscale

State Key Laboratory of Material Processing and Die & Mould Technology, Laboratory of Solid State Ionics, School of Materials Science and Engineering, Huazhong University of Science and Technology, Wuhan 430074, P. R. China.

Published: January 2020

AI Article Synopsis

  • The development of a novel memristive synapse using a lateral heterostructure of 2D WSe and WO shows high synaptic plasticity, crucial for advancing neuromorphic computing.
  • An intermediate transition layer was identified, with protons in this layer playing a key role in the memristive behavior, as confirmed by various analytical techniques.
  • The ability to modulate synaptic plasticity through gate voltage and visible light in this architecture enhances the emulation of biological synapses and improves the efficiency of artificial neuristors for computation tasks.

Article Abstract

The development of novel synaptic device architectures with a high order of synaptic plasticity can provide a breakthrough toward neuromorphic computing. Herein, through the thermal oxidation of two-dimensional (2D) WSe, unique memristive synapses based on the lateral heterostructure of 2D WSe and WO, with multi-gate modulation characteristics, are firstly demonstrated. An intermediate transition layer in the heterostructure is observed through transmission electron microscopy. Raman spectroscopy and detailed electrical measurements provide insights into the mechanism of memristive behavior, revealing that the protons injected into/removed from the intermediate transition layer account for the memristive behavior. This novel memristive synapse can be used to emulate two neuron-based synaptic functions, like post-synaptic current, short-term plasticity and long-term plasticity, with remarkable linearity, symmetry, and an ultralow energy consumption of ∼2.7 pJ per spike. More importantly, the synaptic plasticity between the drain and source electrodes can be effectively modulated by the gate voltage and visible light in a four-terminal configuration. Such multi-gate tuning of the synaptic plasticity cannot be accomplished by any previously reported multi-gate synaptic devices that only mimic two neuron-based synapses. This new synaptic architecture with electrical and optical modulation enables a realistic emulation of biological synapses whose synaptic plasticity can be additionally regulated by the surrounding astrocytes, greatly improving the recognition accuracy and processing capacity of artificial neuristors, and paving a new way for highly efficient neuromorphic computation devices.

Download full-text PDF

Source
http://dx.doi.org/10.1039/c9nr07941fDOI Listing

Publication Analysis

Top Keywords

synaptic plasticity
16
memristive synapses
8
lateral heterostructure
8
heterostructure wse
8
synaptic
8
intermediate transition
8
transition layer
8
memristive behavior
8
synapses synaptic
8
plasticity
6

Similar Publications

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!