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djsaunde avatar djsaunde commented on May 18, 2024

Hi @kevinlemon,

Yes, that's approximately what we do. See this repository for an example for the Diehl and Cook 2015 network. We end up tweaking the network a bit to make it behave a little more predictably during the test phase (e.g., by removing STDP updates).

P.S. More experiments will be added soon.

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kevinlemon avatar kevinlemon commented on May 18, 2024

Great! Thanks.

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cemiboou avatar cemiboou commented on May 18, 2024

Take the liberty of disturbing.
As I see that there seems to be a cifar10 data set in your project.Could i ask what the test results of this network on cifar10 are like?
I want to try out the effect of this network on cifar10.
Did you have ever had a test?

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djsaunde avatar djsaunde commented on May 18, 2024

Hi @xhongtang, we weren't able to get any good results with CIFAR-10. The best we got was a bit better than random (~10%). We have an example script here (it may not be working; let me know if not and I'll fix it).

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