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In table 3 you compare your result with other publications. Reference 44 has a larger accuracy than you with fewer hidden neurons. What is the difference between your method and theirs?

Also, will you release your method as code?

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That number is what they reported in their publication, but it turns out they actually used both recurrent neurons (compared to feedforward as they state) and 512 instead of 100 neurons (see here https://zenkelab.org/publications/errata_zenke_vogels_2021/). We will adjust those numbers in the final publication.

My aim is to release the method as part of Norse https://github.com/norse/norse. There is some subtlety involved in implementing it for a given integration scheme, though. The event based simulator underlying the paper will also be released in due time.

Other author here, as was pointed out this was a typo in the cited publication. We will definitely be releasing the source code in due time.

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