[drdeca]

I'm unclear on what \tau_{syn} and \tau_{mem} mean. I assume that syn stands for synapse, and mem stands for memory, but I'm not sure what the \tau is about? Time? I imagine that this would be clear to someone in the field, who would be the target audience for the paper, so this isn't really a criticism.

[jegp]

\tau is a common symbol for time constants which, briefly put, determines how fast something decays over time. Syn for synaptic current and mem for membrane voltage. We've written some documentation around our neuron equations in Python that explains this: https://norse.github.io/norse/auto_api/norse.torch.functiona...

See also our tutorial on neuron parameter optimization to understand how it's useful for machine learning: https://github.com/norse/notebooks#level-intermediate

There's also a great book on the topic by Gerstner available online: https://neuronaldynamics.epfl.ch/

Disclaimer: I'm a co-author of the library Norse

Regarding the target audience, it's actually not entirely clear to me. This lies in the intersection between computational neuroscience and deep learning, which isn't a huge set of people. So, I think you're question is highly relevant and we (as researchers) have a lot of work in front of us to explain why this is interesting and important.

[drdeca]

Thanks! I will take a look at those