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EPFL-LCN's Projects

multidchaos icon multidchaos

Public code for the paper Muscinelli, Gerstner and Schwalger, ArXiv: 1812.06925v2 (2018)

pub-brea2017-arxiv icon pub-brea2017-arxiv

Code for the article: Brea J (2017). Is prioritized sweeping the better episodic control? arXiv:1711.06677 [cs.AI]

pub-deger2016-arxiv icon 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.

pub-illing2019-nnetworks icon 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 icon pub-illing2021-neurips

Public code for Illing, Ventura, Bellec & Gerstner 2021: Local plasticity rules can learn deep representations using self-supervised contrastive predictions

pub-liakonilehmann2022_neuroimage icon pub-liakonilehmann2022_neuroimage

Code for the publication V. Liakoni *, M. Lehmann *, A. Modirshanechi, J. Brea, A. Lutti, W. Gerstner ** , K. Preuschoff **, NeuroImage, 2022

pub-seeholzer2018 icon pub-seeholzer2018

Spiking neuronal network simulations (Python, NEST Simulator) for continuous attractor working memory networks with short-term plasticity.

pub-seeholzer2018-langevin icon pub-seeholzer2018-langevin

Langevin integrator for SDEs with constant drift and diffusion on continuous intervals with circular boundary conditions.

pub-steinbrito2024-ploscb icon pub-steinbrito2024-ploscb

Code for paper "Learning what matters: synaptic plasticity with invariance to input correlations" by Carlos Stein Brito, Wulfram Gerstner

pub-ziegler2015-jneurosci icon pub-ziegler2015-jneurosci

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

pub2012memorynets icon pub2012memorynets

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

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