MorphBungee: A 65nm 7.2mm<sup>2</sup> 27μJ/image Digital Edge Neuromorphic Chip with On-Chip 802 Frame/s Multi-Layer Spiking Neural Network Learning-Reference-Cited by-同舟云学术

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MorphBungee: A 65nm 7.2mm² 27μJ/image Digital Edge Neuromorphic Chip with On-Chip 802 Frame/s Multi-Layer Spiking Neural Network Learning

Published:2023-11-05 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Asian Solid-State Circuits Conference (A-SSCC)
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Author:

Wang Tengxiao¹,Tian Min¹,Zhong Zhengqing¹,Wang Haibing¹,He Junxian¹,Tang Fang¹,Zhou Xichuan¹,Yu Shuangming²,Wu Nanjian²,Liu Liyuan²,Shi Cong¹

Affiliation:

1. School of Microelectronics and Communication Engineering, Chongqing University,Chongqing,China,400044

2. Institute of Semiconductors, Chinese Academy of Sciences,Beijing,China,100083

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10347557/10347908/10347936.pdf?arnumber=10347936

Reference8 articles.

1. Towards spike-based machine intelligence with neuromorphic computing

2. A 0.086-mm2 12.7-pJ/SOP 64k-Synapse 256-Neuron Online-Learning Digital Spiking Neuromorphic Processor in 28-nm CMOS;Frenkel;TBioCAS,2019

3. Spike Counts Based Low Complexity SNN Architecture With Binary Synapse

4. A 5.28-mm² 4.5-pJ/SOP Energy-Efficient Spiking Neural Network Hardware With Reconfigurable High Processing Speed Neuron Core and Congestion-Aware Router

5. A Spike-Event-Based Neuromorphic Processor with Enhanced On-Chip STDP Learning in 28nm CMOS

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