Efficient Mixed-Signal Neurocomputing Via Successive Integration and Rescaling-Reference-Cited by-同舟云学术

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Efficient Mixed-Signal Neurocomputing Via Successive Integration and Rescaling

Published:2020-03 Issue:3 Volume:28 Page:823-827
ISSN:1063-8210
Container-title:IEEE Transactions on Very Large Scale Integration (VLSI) Systems
language:
Short-container-title:IEEE Trans. VLSI Syst.

Author:

Bavandpour Mohammad^ORCID,Sahay Shubham^ORCID,Mahmoodi Mohammad R.^ORCID,Strukov Dmitri^ORCID

Funder

Google

Applied Materials

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Hardware and Architecture,Software

Link

http://xplorestaging.ieee.org/ielx7/92/9011687/08891746.pdf?arnumber=8891746

Cited by 19 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. Enabling Power Side-Channel Attack Simulation on Mixed-Signal Neural Network Accelerators;2024 IEEE International Conference on Omni-layer Intelligent Systems (COINS);2024-07-29

2. Ferroelectric FET-Based Time-Mode Multiply-Accumulate Accelerator: Design and Analysis;IEEE Transactions on Electron Devices;2023-12

3. Experimental Assessment of Multilevel RRAM-Based Vector-Matrix Multiplication Operations for In-Memory Computing;IEEE Transactions on Electron Devices;2023-04

4. From memristive devices to neuromorphic systems;Applied Physics Letters;2023-03-13

5. Energy-efficient and noise-tolerant neuromorphic computing based on memristors and domino logic;Frontiers in Nanotechnology;2023-02-28

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