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New Preprint: Training Spiking Neural Networks Using Lessons From Deep Learning

  • Writer: jasoneshraghian
    jasoneshraghian
  • Sep 29, 2021
  • 1 min read


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How can we train biologically plausible Spiking Neural Networks with the Deep Learning hammer? Our perspective/tutorial/review aims to tackle this question. We explore how the neural code affects learning via gradient descent, the interplay between the STDP learning rule and the backpropagation-through-time algorithm, and step through using online learning with SNNs.


This preprint goes hand-in-hand with our recently updated snnTorch interactive tutorial series that goes from designing simple spiking neurons to training large-scale networks.





 
 
 
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