On-chip adaptive matching learning with charge-trap synapse device and ReLU activation circuit-Reference-Cited by-同舟云学术

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On-chip adaptive matching learning with charge-trap synapse device and ReLU activation circuit

Published:2021-12 Issue: Volume:186 Page:108177
ISSN:0038-1101
Container-title:Solid-State Electronics
language:en
Short-container-title:Solid-State Electronics

Author:

Ahn Ji-Hoon,Choi Hyun-Seok,Kim Jung Nam,Park Byung-Gook,Kim Sungjun,Lee Jaehong,Kim Yoon

Funder

Korea Ministry of Trade Industry and Energy

National Research Foundation of Korea

IC Design Education Center

Korea Semiconductor Research Consortium

Publisher

Elsevier BV

Subject

Materials Chemistry,Electrical and Electronic Engineering,Condensed Matter Physics,Electronic, Optical and Magnetic Materials

Reference26 articles.

1. Deep learning hardware: past, present, and future;LeCun,2019

2. A million spiking-neuron integrated circuit with a scalable communication network and interface;Merolla;Science,2014

3. Neuromorphic computing using non-volatile memory;Burr;Adv. Phys. X,2017

4. An overview of neuromorphic computing for artificiall intelligence enabled hardware-based hopfield neural network;Yu;IEEE Access,2020

5. Neuromorphic computing based on emerging memory technologies;Rajendran;IEEE J Emerg Selected Top Circuit Systems,2016

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