Comments (2)
Good point and issue
Yes, correct, by synapse we mean binary input (synapse with no memory) which converts analog data into binary form.
we didn't test it on analog dataset and because of that, the synapse is missed in the code
We will mention this in the final version of the paper, thank you for your time and effort.
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i'm sorry i don't understand your question? you mean the final version of paper?! well it is yet to be published.
but we will release the code and pre-print in the near future.
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Related Issues (13)
- implementation errors HOT 2
- RuntimeError: view size is not compatible with input tensor's size and stride (at least one dimension spans across two contiguous subspaces). Use .reshape(...) instead. HOT 4
- NameError: name 'lr_scheduler' is not defined HOT 1
- about seq5 in synthetic dataset HOT 3
- Thanks for sharing the code of this paper. I am still wondering if current code is the latest for the paper?
- about the hybrid training method proposed in the paper HOT 2
- file path for record_info HOT 1
- c1_mem and c1_spike and output HOT 2
- Residual and downsample HOT 1
- Typos in code HOT 1
- Parameter or weight for high accuracy HOT 1
- NMNIST
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