Friedemann Zenke

spytorch. Tutorial for surrogate gradient learning in spiking neural networks

auryn. Auryn: A fast simulator for spiking neural networks with synaptic plasticity

pub2018superspike. Code from our paper: SuperSpike: Supervised learning in multi-layer spiking neural networks.

randman. Jupyter Notebook

pub2015orchestrated. Simulation code from Zenke, F., Agnes, E.J., and Gerstner, W. (2015).

ssbm. A curated list of spiking network supervised learning benchmarks

pathint. Code to accompany our paper "Continual Learning Through Synaptic Intelligence" ICML 2017

pub2012memorynets. My simulation behind the spiking Hopfield network in the Neuronal Dynamics book (Fig. 17.11)

effective-pruning. Jupyter Notebook

pub2013ca_inference_net. Network simulation used in Lütcke, H., Gerhard, F., Zenke, F., Gerstner, W., and Helmchen, F. (2013).

spiffyplots. A collection of matplotlib style sheets and plotting tools for publication-ready figures

sslneurips22_web. NeurIPS 2022 Workshop on SSL

morla. Django app which scrapes arXiv and bioRxiv and uses a linear SVM to recommend relevant papers

keras. Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

zynapse. Simulation code from Ziegler, Zenke, Kastner and Gerstner (2015) http://www.jneurosci.org/content/35/3/1319.full

gpwrap. Slim python wrapper to use gnuplot from within Jupyter

malleable. Command line tools to analyze and visualize data generated with Auryn