Residual Spiking Neural Network on a Programmable Neuromorphic Hardware for Speech Keyword Spotting-Reference-Cited by-同舟云学术

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Residual Spiking Neural Network on a Programmable Neuromorphic Hardware for Speech Keyword Spotting

Published:2022-10-25 Issue: Volume: Page:
ISSN:
Container-title:2022 IEEE 16th International Conference on Solid-State & Integrated Circuit Technology (ICSICT)
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Author:

Zou Chenglong¹,Cui Xiaoxin¹,Feng Shuo¹,Chen Guang¹,Wang Xinan²,Wang Yuan¹

Affiliation:

1. Peking University,Key Laboratory of Microelectronics Devices and Circuits, School of Integrated Circuits,Beijing,China,100871

2. Peking University Shenzhen Graduate School,Key Laboratory of Integrated Microsystem, School of ECE,Shenzhen,China,518055

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9962815/9963138/09963415.pdf?arnumber=9963415

Reference6 articles.

1. A Scatter-and-Gather Spiking Convolutional Neural Network on a Reconfigurable Neuromorphic Hardware

2. Identity Mappings in Deep Residual Networks

3. Deep Spiking Convolutional Neural Networks for Programmable Neuro-synaptic System

4. A 64K-Neuron 64M-1b-Synapse 2.64pJ/SOP Neuromorphic Chip With All Memory on Chip for Spike-Based Models in 65nm CMOS

5. Deep Residual Learning for Image Recognition

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