RainerEngelken

Pinned Repositories

GradientFlossing
Language:Julia4 2 00
JuliaCon2017
Slides and demos from JuliaCon 2017 on 'Event-based Simulation of Spiking Neural Networks in Julia'
Language:Jupyter Notebook16 3 06
neurotheory-seminar-2019
Seminar on Advanced Topics in Theoretical Neuroscience - Columbia University 2019
Language:Jupyter Notebook8 5 03
neurotheory-seminar-2020
Seminar on Advanced Topics in Theoretical Neuroscience - Columbia University 2020
Language:MATLAB10 4 01
neurotheory-seminar-2022
Seminar on Advanced Topics in Theoretical Neuroscience - Columbia University 2022
Language:Mathematica3 2 00
neurotheory-seminar-2023
1 4 00
NonstationaryDynamicMeanFieldTheory
Code for calculating the autocorrelation and Lyapunov exponent of recurrent rate network
Language:Julia3 2 00
RNN-LyapunovSpectra
Language:Julia5 2 01
SparseProp
Language:Julia9 2 01
SurrogateGradientFlossing
This repository contains the implementation code for manuscript: Improving Surrogate Gradient Learning in Spiking Neural Netowrks Using Dynamical Systems Theory
Language:Python21

RainerEngelken's Repositories

RainerEngelken/JuliaCon2017
Slides and demos from JuliaCon 2017 on 'Event-based Simulation of Spiking Neural Networks in Julia'
Language:Jupyter Notebook16 3 06
RainerEngelken/neurotheory-seminar-2020
Seminar on Advanced Topics in Theoretical Neuroscience - Columbia University 2020
Language:MATLAB10 4 01
RainerEngelken/SparseProp
Language:Julia9 2 01
RainerEngelken/neurotheory-seminar-2019
Seminar on Advanced Topics in Theoretical Neuroscience - Columbia University 2019
Language:Jupyter Notebook8 5 03
RainerEngelken/RNN-LyapunovSpectra
Language:Julia5 2 01
RainerEngelken/GradientFlossing
Language:Julia4 2 00
RainerEngelken/neurotheory-seminar-2022
Seminar on Advanced Topics in Theoretical Neuroscience - Columbia University 2022
Language:Mathematica3 2 00
RainerEngelken/NonstationaryDynamicMeanFieldTheory
Code for calculating the autocorrelation and Lyapunov exponent of recurrent rate network
Language:Julia3 2 00
RainerEngelken/SurrogateGradientFlossing
This repository contains the implementation code for manuscript: Improving Surrogate Gradient Learning in Spiking Neural Netowrks Using Dynamical Systems Theory
Language:Python21
RainerEngelken/neurotheory-seminar-2023
1 4 00
RainerEngelken/reanalysis
Code for reanalysis of “Two types of asynchronous activity in networks of excitatory and inhibitory spiking neurons”
Language:Julia1 2 01
RainerEngelken/CellularAutomata.jl
Cellular Automata simulation toolkit for Julia
Language:Julia0 1 00
RainerEngelken/cns2018workshop
0 2 00
RainerEngelken/COVID-19
Novel Coronavirus (COVID-19) Cases, provided by JHU CSSE
0 1 00
RainerEngelken/DiffEqDocs.jl
Documentation for the DiffEq ecosystem
Language:Julia2 0
RainerEngelken/DynamicalSystems.jl
A Julia package for the exploration of continuous and discrete dynamical systems
Language:Julia2 0
RainerEngelken/GPUShowcases.jl
Indepth examples and show cases for GPUArrays
Language:Julia2 0
RainerEngelken/HiddenMarkovModels.jl
Basic inference with Hidden Markov Models
Language:Julia2 0
RainerEngelken/lnp_model_tutorial
Language:Jupyter Notebook1 0
RainerEngelken/NeurIPS2022
training-balanced-nets
Language:Julia2 0
RainerEngelken/pyspi
Comparative analysis of pairwise interactions in multivariate time series.
Language:Python1 0
RainerEngelken/wamtn2018
2 0