Work

Achieving reinforcement learning in a three-active-terminal neuromorphic device based on a 2D vdW ferroelectric material

Year: 2023

Type: article

Abstract: layers. Our work demonstrates the practicability of three-active-terminal neuromorphic devices in handling complex tasks and advances a significant step towards implementing brain-like learning strategies based on neuromorphic devices for dealing with real-world challenges.

Source: Materials Horizons

DOI: 10.1039/d3mh00714f

Authors: Feng Guo, Weng Fu Io, Zhaoying Dang, Ran Ding, Sin-Yi Pang, Yuqian Zhao, Jianhua Hao

Institution: Hong Kong Polytechnic University

Language: English

Topic: Advanced Memory and Neural Computing

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: National Natural Science Foundation of China, Research Grants Council, University Grants Committee, Hong Kong Polytechnic University

Awards: G1338673970, G226434756, G65599718, G7454572169, G8922711421

OpenAlex ID: W4382808002

FWCI: 1.26

Cites: 36

Cited by: 17

Related to: 10