Dear Sonja,
If you're doing deep/machine learning, it could make sense to look at different simulators like Norse (https://github.com/norse/norse/, disclaimer: I'm a maintainer), or BindsNET (https://github.com/BindsNET/bindsnet).
Both have explicit examples on how to build and train spiking models based on the PyTorch framework (https://pytorch.org/), cf. https://github.com/norse/notebooks/tree/master/notebooks.
Sincerely,
Jens Egholm Pedersen jensegholm@protonmail.com
‐‐‐‐‐‐‐ Original Message ‐‐‐‐‐‐‐ On Monday, 15. June 2020 14:24, s.kraemer96@gmx.net wrote:
Dear all, I´m writing a master thesis on spiking neural networks and how transparent they are. For that I need to implement a SNN network and train it. So I started with Brian but that is much to complex and I don´t need something special. So I decided to use PyNest. I did all the tutorials but I´m missing a tutorial how to train the network. I don´t know how to put in a dataset to train the model. I haven´t found anything to this topic. So my questions are:
- Can PyNest train set up a SNN and train it trough data and if not is there another simulator who can do this?
- How do I do it? Is there anything I missed to read or can someone send me an example? This would be very helpful. Thanks for your help.
Best, Sonja
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