The matlab code for the paper "Spike Count Maximization for Neuromorphic Vision Recognition".
- Matlab 2018a
- Download the example data and extract
baseline_classifier.mat
,train_data.mat
, andtest_data.mat
into theexample
folder. The example data is the CIFAR10-DVS feature set. It was extracted from a PLIF-based Spiking ResNet-18 trained with MSE loss and PiecewiseLeakyReLU surrogate gradient. - Start Matlab, and then run the
run.m
script.
If our work is helpful to you, please kindly cite our paper as:
@inproceedings{tang2023scm,
title={Spike Count Maximization for Neuromorphic Vision Recognition},
author={Jianxiong Tang and Jian-Huang Lai and Xiaohua Xie and Lingxiao Yang},
booktitle={IJCAI},
year={2023}
}