15 Jun
2020
15 Jun
'20
3:05 p.m.
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(a)protonmail.com
‐‐‐‐‐‐‐ Original Message ‐‐‐‐‐‐‐
On Monday, 15. June 2020 14:24, <s.kraemer96(a)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:
1. Can PyNest train set up a SNN and train it trough
data and if not is there another simulator who can do this?
2. 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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