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> "The relationship of spike-time-dependent plasticity to other models requires further clarifying work" - I got something for that, in fact I think I discover
by GChevalier 7y ago
> "The relationship of spike-time-dependent plasticity to other models requires further clarifying work"
- I got something for that, in fact I think I discovered that backpropagation engenders STDP:
https://github.com/guillaume-chevalier/Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP https://github.com/guillaume-chevalier/Spiking-Neural-Networ...
- marmaduke 7y agoIt was interesting to read how you did a spiking eural network in PyTorch, but it seems your neurons' states are coupled continuously in time, whereas in the brain, it would be the opposite, ie. the spike timing carries information and not the state values. > backprop engenders STDP This is backwards I think, but definitely an interesting association to make
- codekansas 7y agoThere's a cool package called Nengo from Chris Eliasmith's group at UWaterloo which hasn't received as much attention as I think it should: https://www.nengo.ai/nengo-dl/examples/tensorflow-models.html https://www.nengo.ai/nengo-dl/examples/tensorflow-models.htm...
- etiam 7y agoYou may be interested to watch this talk: http://www.cs.nyu.edu/~yann/deep07/videos/mov010.avi http://www.cs.nyu.edu/~yann/deep07/videos/mov010.avi Slides: http://www.cs.toronto.edu/~hinton/backpropincortex2007.pdf http://www.cs.toronto.edu/~hinton/backpropincortex2007.pdf