Article: Stability of working memory in continuous attractor networks under the control of short-term plasticity

https://journals.plos.org/ploscompbiol/article?id=10.1371/journal.pcbi.1006928 Accompanying code: https://github.com/EPFL-LCN/pub-seeholzer2018 The ability to transiently memorize positions in the visual field is crucial for behavior. Models and experiments have shown that such memories can be…

Ciles 0.1.0: Continuous Interval Langevin Equation Simulator

This was published a while ago on Github. Langevin integrator for SDEs with constant drift and diffusion on continuous intervals with circular boundary conditions. CILES is written in…

Four week workshop: “Music in Improv”

This four-week long workshop is all about music in improv: singing and the interplay between music and acting. The course was compiled, developed and first held by Alex Seeholzer as…

Sourdough Boule, fridge-proofed

After watching yet another YouTube episode on Sourdough baking (If you don’t know Alex Frenchguy Cooking, be sure to check out his videos. He has a very scientific approach to…

Article: Efficient low-dimensional approximation of continuous attractor networks

I just published a (slightly modified) chapter of my thesis on arxiv, in which we show how to efficiently approximate the shapes of the steady states of the…

Sourdough Boule, 70% hydration

Article: Synaptic patterning and the timescales of cortical dynamics

Renato Duarte and I wrote a review article for Current Opinion in Neurobiology which just appeared! Synaptic patterning and the timescales of cortical dynamics. Volume 43, April 2017, Pages…

Article: Deep Artificial Composer (Deep LSTM)

We (Florian Colombo and I) just published a second paper on learning of melodies with deep LSTMs! Deep Artificial Composer : A Creative Neural Network Model for Automated…

Article: Mapping the function of neuronal ion channels in model and experiment

After nearly three years, it’s finally out! https://elifesciences.org/content/6/e22152 Ion channel models are the building blocks of computational neuron models. Their biological fidelity is therefore crucial for the interpretation of…

Neuronal Dynamics: Python Exercises 0.2.0

Updated python exercises accompanying the book Neuronal Dynamics by Wulfram Gerstner, Werner M. Kistler, Richard Naud and Liam Paninski. http://neuronaldynamics-exercises.readthedocs.io https://github.com/EPFL-LCN/neuronaldynamics-exercises This version benefited mainly from the contributions…

Article: Multicontact Co-operativity in Spike-Timing–Dependent Structural Plasticity Stabilizes Networks

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6041941 Excitatory synaptic connections in the adult neocortex consist of multiple synaptic contacts, almost exclusively formed on dendritic spines. Changes of dendritic spine shape and volume, a correlate…

CatCave9: “Winner” merch design

Article: Algorithmic Composition of Melodies with Deep Recurrent Neural Networks

https://arxiv.org/abs/1606.07251 Published in the Proceedings of 1st Conference on Computer Simulation of Musical Creativity . A big challenge in algorithmic composition is to devise a model that is both easily…

Preprint: ICGenealogy: Mapping the function of neuronal ion channels in model and experiment

Find the preprint on http://biorxiv.org Ion channel models are the building blocks of computational neuron models. Their biological fidelity is therefore crucial for the interpretability of simulations. However,…

CatCave9: Science Monologue & Longform

Nichola Plowman (https://scholar.google.co.uk/citation…) in the CatCave9 science guest spot in CC9E03 on March 17, 2016 @ Cinema Oblo, Lausanne. Edited by: Alex Seeholzer  

Short film: Fed Up (2016)

A generalizable model of spike-timing dependent plasticity for the Neural Simulation Tool (NEST)

https://github.com/zifeo/nest-stdpmodule This is a bachelor semester project carried out at the Laboratory of Computational Neuroscience from Swiss Institute of Technology in Lausanne. It was supervised by Alex Seeholzer…