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Artificial Working Memory Constructed by Planar 2D Channel Memristors Enabling Brain‐Inspired Hierarchical Memory Systems

Authors :
Xinglong Ji
Song Hao
Kian Guan Lim
Shuai Zhong
Rong Zhao
Source :
Advanced Intelligent Systems, Vol 4, Iss 3, Pp n/a-n/a (2022)
Publication Year :
2022
Publisher :
Wiley, 2022.

Abstract

In human hierarchical memory structures, working memory functions as a temporal interface to integrate multimodal information from sensory memory and long‐term memory, underpinning cognition development. Therefore, an artificial working memory is highly anticipated to endow computing systems with advanced capabilities. Herein, an artificial working memory that can synthesize and process multimodal information to enable a brain‐inspired hierarchical memory system is developed. To emulate the characteristic synaptic behavior of working memory, a planar 2D channel memristor (PTCM) with stable short‐term frequency‐dependent plasticity is designed. An array of PTCMs on a monolayer MoS2 grain are assembled and the information encoding, forgetting, retrieval, and updating functions of working memory are experimentally demonstrated. A hierarchical memory system through simulation, which integrates working memory network, sensory memory, and long‐term memory, is built, emulating the information synthesizing and processing procedures of the human brain. The proposed system provides a promising way to enhance the cognitive capability of intelligence machines.

Details

Language :
English
ISSN :
26404567
Volume :
4
Issue :
3
Database :
Directory of Open Access Journals
Journal :
Advanced Intelligent Systems
Publication Type :
Academic Journal
Accession number :
edsdoj.8399a644394f4983612dd70fc9ee34
Document Type :
article
Full Text :
https://doi.org/10.1002/aisy.202100119