And currently looking at tools like NEST (http://www.nest-initiative.org) and NEURON (https://neuron.yale.edu/neuron) to model simple SNN network https://github.com/FoundAItion-ai/Its/tree/main/Docs/Present . I guess, NEST is great for larger models, while NEURON would excel with smaller, more detailed models.

Has anyone here experimented with these tools or have any experiences to share? I'd like to hear about any challenges you encountered or any tips.

If you have a preferred tool for SNNs that's neither NEST nor NEURON, please share.