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NeuromorphicProcessorProject / snntoolbox_applications

Collection of Spiking Neural Network applications for SNN Toolbox.
MIT License
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Request for configurations #3

Closed ediadd closed 4 years ago

ediadd commented 4 years ago

Hello,

I am currently using the snntoolbox to test SNN conversion accuracy under various configurations. I was able to get useful information and really appreciate for providing this nice tool.

However, at some point, I found it is quite difficult to achieve error rates reported in the paper (Conversion of analog to spiking neural networks using sparse temporal coding). For TTFS, I have tried out various configurations (duartions, dt, etc.) on Lenet-5, but I was unable to achieve the error rate of 2% (as reported in the paper). The error rate is far worse than the error rate reported in the paper. So, I was wondering if I'm making a mistake at some point (maybe the configuration was wrong). If you don't mind, can I get the well-fit configuration files for temporal_mean_rate and TTFS coding scheme?

Thank you!

ediadd commented 4 years ago

The issue is moved to the project main repository. Sorry for any inconvenience!