Cosyne Tutorial 2022 - Spiking Neural Networks
Suggested steps before the tutorial
- Download the code and install. Follow the instructions here.
- Watch the presentations to have more time to spend on the exercises.
Course materials
- Slides
- Recorded presentation
- Code for exercises (and installation instructions)
Suggested reading links
- General, free computational neuroscience resources
- Neuronal Dynamics (Gerstner et al.) - excellent free textbook covers much of part 1.
- SPyTorch tutorial (Zenke) - the place to go for surrogate gradient descent
- SNUFA
- SNUFA workshop the spiking neural network community
- http://neural-reckoning.org/pub_snufa_review.html the short review paper after the first SNUFA meeting
- SNUFA Discord join the community!
- Some of my related papers:
- Dynamical systems in neuroscience (Izhikevich) - the definitive reference on the dynamical systems approach, long and unfortunately not free.
- 3Blue1Brown on Neural Networks - good, easy to watch video series on neural networks, backpropagation, etc.
- Brian simulator - it’s quite good you know
- SPyTorch in Julia contributed by Brian DePasquale
Credits
Thank you to Cosyne tutorial organisers Kanaka Rajan and Il Memming Park.
Thank you to Marcus Ghosh and Nicolas Perez for helping create the slides and exercises.
Thank you Friedemann Zenke for the wonderful SPyTorch tutorial which has opened up this work to so many people.
Thank you to all the TAs on the course:
- Tomas Fiers
- Brian DePasquale
- Juan Luis Riquelme
- Gregory Handy
- Manuel Beiran
- Yigit Demirag
- Erica Shook
- Guangyao Qi
- Zhenrui Liao
- Albert Qü
- Yuhan Helena Liu
- Klara Kaleb
- Bill Podlaski
- Amelia Christensen
- Friedrich Schuessler
- Richard Gao
- Filip Vercruysse
- Yuhong Echo Liu
- Marcus Ghosh
- Greta Horvathova
- Gabriel Bena
- Rory Byrne