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A library for deep learning with spiking neural networks

Project description


A library to do deep learning with spiking neural networks.

Getting Started

The primary dependencies of this project are torch, tensorflow and OpenAI gym. A more comprehensive list of dependencies can be found in myelin.yml.


The directory myelin/task contains three example experiments. You can execute them by invoking the run_*.py scripts from this directory.

  • To train a MNIST classification network, invoke
  • To train a CIFAR classification network, invoke
  • To train the cartpole balancing task with Policy gradient, invoke

The default choices of hyperparameters are meant as reasonable starting points, they can be improved upon.


LGPLv3. See LICENSE for license details.

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