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SATO: spiking neural network acceleration via temporal-oriented dataflow and architecture.
Fangxin Liu
Wenbo Zhao
Zongwu Wang
Yongbiao Chen
Tao Yang
Zhezhi He
Xiaokang Yang
Li Jiang
Published in:
DAC (2022)
Keyphrases
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spiking neural networks
biologically inspired
data flow
spatio temporal
feed forward
cerebellar model
network architecture
space time
liquid state machine
learning rules
neural network
multi modal
vision system
artificial neural networks
object recognition
reinforcement learning
machine learning