Bellec, Guillaume

7 publications

NeurIPS 2023 Trial Matching: Capturing Variability with Data-Constrained Spiking Neural Networks Christos Sourmpis, Carl Petersen, Wulfram Gerstner, Guillaume Bellec

NeurIPS 2022 Mesoscopic Modeling of Hidden Spiking Neurons Shuqi Wang, Valentin Schmutz, Guillaume Bellec, Wulfram Gerstner

NeurIPS 2021 Fitting Summary Statistics of Neural Data with a Differentiable Spiking Network Simulator Guillaume Bellec, Shuqi Wang, Alireza Modirshanechi, Johanni Brea, Wulfram Gerstner

NeurIPS 2021 Local Plasticity Rules Can Learn Deep Representations Using Self-Supervised Contrastive Predictions Bernd Illing, Jean Ventura, Guillaume Bellec, Wulfram Gerstner

NeurIPSW 2019 Eligibility Traces Provide a Data-Inspired Alternative to Backpropagation Through Time Guillaume Bellec, Franz Scherr, Elias Hajek, Darjan Salaj, Anand Subramoney, Robert Legenstein, Wolfgang Maass

ICLR 2018 Deep Rewiring: Training Very Sparse Deep Networks Guillaume Bellec, David Kappel, Wolfgang Maass, Robert Legenstein

NeurIPS 2018 Long Short-Term Memory and Learning-to-Learn in Networks of Spiking Neurons Guillaume Bellec, Darjan Salaj, Anand Subramoney, Robert Legenstein, Wolfgang Maass