Pinned Repositories
neuLVM
neuronaldynamics-exercises
Python exercises accompanying the book "Neuronal Dynamics"
pub-bellec-wang-2021-sample-and-measure
Official repository for the sample-and-measure project
pub-illing2019-nnetworks
Public code (julia) for Illing, Gerstner & Brea 2019: Biologically plausible deep learning - but how far can we go with shallow networks?
pub-illing2021-neurips
Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised contrastive predictions
pub-liakonimodirshanechi2021-NC
Code for the publication V. Liakoni*, A. Modirshanechi*, W. Gerstner, J. Brea, Neural Computation, 2021
pub-seeholzer2018
Spiking neuronal network simulations (Python, NEST Simulator) for continuous attractor working memory networks with short-term plasticity.
pub-seeholzer2018-langevin
Langevin integrator for SDEs with constant drift and diffusion on continuous intervals with circular boundary conditions.
pub-sourmpis2023-neurips
pub2012memorynets
My simulation behind the spiking Hopfield network in the Neuronal Dynamics book (Fig. 17.11)
EPFL-LCN's Repositories
EPFL-LCN/neuronaldynamics-exercises
Python exercises accompanying the book "Neuronal Dynamics"
EPFL-LCN/pub-illing2021-neurips
Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised contrastive predictions
EPFL-LCN/pub-illing2019-nnetworks
Public code (julia) for Illing, Gerstner & Brea 2019: Biologically plausible deep learning - but how far can we go with shallow networks?
EPFL-LCN/pub-sourmpis2023-neurips
EPFL-LCN/pub-bellec-wang-2021-sample-and-measure
Official repository for the sample-and-measure project
EPFL-LCN/pub-liakonimodirshanechi2021-NC
Code for the publication V. Liakoni*, A. Modirshanechi*, W. Gerstner, J. Brea, Neural Computation, 2021
EPFL-LCN/pub2012memorynets
My simulation behind the spiking Hopfield network in the Neuronal Dynamics book (Fig. 17.11)
EPFL-LCN/neuLVM
EPFL-LCN/pub-seeholzer2018
Spiking neuronal network simulations (Python, NEST Simulator) for continuous attractor working memory networks with short-term plasticity.
EPFL-LCN/pub-seeholzer2018-langevin
Langevin integrator for SDEs with constant drift and diffusion on continuous intervals with circular boundary conditions.
EPFL-LCN/pub-xumodirshanechi2021-PlosCB
Code and data for the publication Xu*, Modirshanechi*, Lehmann, Gerstner, and Herzog, PLOS Computational Biology (2021)
EPFL-LCN/FoodCaching
EPFL-LCN/multiDchaos
Public code for the paper Muscinelli, Gerstner and Schwalger, ArXiv: 1812.06925v2 (2018)
EPFL-LCN/neural-net-regression
To optimize a neural net using gradient flow and to visualize its weights at convergence.
EPFL-LCN/pub-brea2017-arxiv
Code for the article: Brea J (2017). Is prioritized sweeping the better episodic control? arXiv:1711.06677 [cs.AI]
EPFL-LCN/pub-deger2016-arxiv
Module for the NEST simulator (https://github.com/nest/nest-simulator) that adds a combined STDP and structural plasticity synapse model with multiple synaptic contacts.
EPFL-LCN/pub-gilra2017-elife
Feedback-based Online Local Learning Of Weights (FOLLOW)
EPFL-LCN/pub-liakonilehmann2022_NeuroImage
Code for the publication V. Liakoni *, M. Lehmann *, A. Modirshanechi, J. Brea, A. Lutti, W. Gerstner ** , K. Preuschoff **, NeuroImage, 2022
EPFL-LCN/pub-pozzorini2015-ploscb
EPFL-LCN/pub-schwalger2017-ploscb
Mesoscopic dynamics of interacting populations of GIF/GLM spiking neurons
EPFL-LCN/pub-steinbrito2016-PlosCB
Code for paper "Nonlinear Hebbian Learning", Plos 2016, Brito & Gerstner
EPFL-LCN/pub-steinbrito2024-PlosCB
Code for paper "Learning what matters: synaptic plasticity with invariance to input correlations" by Carlos Stein Brito, Wulfram Gerstner
EPFL-LCN/pub-zenke2014-frontneuroinform
Auryn: A fast simulator for spiking neural networks with synaptic plasticity
EPFL-LCN/pub-zenke2015-naturecomm
Simulation code from Zenke, F., Agnes, E.J., and Gerstner, W. (2015).
EPFL-LCN/pub-ziegler2015-jneurosci
Simulation code from Ziegler, Zenke, Kastner and Gerstner (2015) http://www.jneurosci.org/content/35/3/1319.full
EPFL-LCN/pub_amodio2021_scirep
EPFL-LCN/pub_gozel2021_elife
EPFL-LCN/pub_simsek2021_icml