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Friedemann Zenke's Projects

auryn icon auryn

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

bakjob icon bakjob

Bakup job scheduler which checks for cloud or usb drive availability

battery-stats icon battery-stats

Log battery charge (batter-stats-collector), show gnuplot graphs (battery-graph)

gpwrap icon gpwrap

Slim python wrapper to use gnuplot from within Jupyter

jclub icon jclub

Django based lab meeting or journal club organizer

keras icon keras

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

latent-predictive-learning-fork icon latent-predictive-learning-fork

Code to accompany our paper "The combination of Hebbian and predictive plasticity learns invariant object representations in deep sensory networks” bioRxiv 2022

malleable icon malleable

Command line tools to analyze and visualize data generated with Auryn

morla icon morla

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

pathint icon pathint

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

pub2012memorynets icon pub2012memorynets

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

pub2013ca_inference_net icon pub2013ca_inference_net

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

pub2018superspike icon pub2018superspike

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

spiffyplots icon spiffyplots

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

spytorch icon spytorch

Tutorial for surrogate gradient learning in spiking neural networks

ssbm icon ssbm

A curated list of spiking network supervised learning benchmarks

zynapse icon zynapse

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

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