Shin-ichi Ikegawa

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NN: Time Step Reduction of Spiking Surrogate Gradients for Training Energy Efficient Single-Step Spiking Neural Networks

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cs.NE2022

Rethinking the role of normalization and residual blocks for spiking neural networks

Shin-ichi Ikegawa, Ryuji Saiin, Yoshihide Sawada +1

Biologically inspired spiking neural networks (SNNs) are widely used to realize ultralow-power energy consumption. However, deep SNNs are not easy to train due to the excessive fir…