Comments (2)
100个仿真步长的意思,没有实际的物理意义。很多以往的工作把仿真步长设置成1ms,这种情况下相当于是100ms
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谢谢!
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Related Issues (20)
- Question on the T parameter and the way the input is presented to a SNN HOT 1
- Question on the channels HOT 1
- monitor占显存严重 HOT 11
- How to obtain the surrogate gradient of loss function w.r.t. inputs in SNNs? HOT 2
- 关于测试集精度的问题 HOT 6
- 关于利用STDP优化器与梯度下降混合使用无法分类的问题 HOT 7
- Question on the input encoding in SNN vs SCNN HOT 3
- DVS CIFA准确率问题 HOT 4
- 请问框架中的tdBN方法是还没有完成吗? HOT 7
- PyTorch DDP 无法使用 SyncBatchNorm,疑似因为多步模式下 C 与 N 维度互换 HOT 2
- 请问转换后的基于torch.fx的模型可以进行训练吗 HOT 2
- 自定义神经元参数不更新 HOT 2
- 请教关于“事件驱动”和“时间驱动”的问题 HOT 3
- 关于新神经元模型SRM的开发请求
- Compatibility with the latest NumPy version 1.24 which removes "numpy.int" entry HOT 4
- 运行结果出错 HOT 1
- 如何实现TTFS的神经元 HOT 17
- Is it possible to use the raw event stream (Neuromorphic dataset) to train an SNN model without using frame reconstruction? HOT 1
- 关于ann2snn中snn结构及各个参数的问题
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