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

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

Artificial neural networks (ANNs), like convolutional neural networks (CNNs), have achieved the state-of-the-art results for many machine learning tasks. However, inference with large-scale full-precision CNNs must cause substantial energy consumption and memory occupation, which seriously hinders t...

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Bibliographic Details
Main Authors: Chenglong Zou, Xiaoxin Cui, Yisong Kuang, Kefei Liu, Yuan Wang, Xinan Wang, Ru Huang
Format: Article
Language:English
Published: Frontiers Media S.A. 2021-11-01
Series:Frontiers in Neuroscience
Subjects:
convolutional neural network
spiking neural network
network quantization
network conversion
neuromorphic hardware
network mapping
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2021.694170/full

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https://www.frontiersin.org/articles/10.3389/fnins.2021.694170/full

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