Guillaume Bellec

According to our database1, Guillaume Bellec authored at least 19 papers between 2014 and 2024.

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Bibliography

2024
Corrigendum to 'An exact mapping from ReLU networks to spiking neural networks' [Neural Networks Volume 168 (2023) Pages 74-88].
Neural Networks, January, 2024

Spiking Music: Audio Compression with Event Based Auto-encoders.
CoRR, 2024

2023
An exact mapping from ReLU networks to spiking neural networks.
Neural Networks, November, 2023

Are training trajectories of deep single-spike and deep ReLU network equivalent?
CoRR, 2023

GateON: an unsupervised method for large scale continual learning.
CoRR, 2023

Trial matching: capturing variability with data-constrained spiking neural networks.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

2022
Mesoscopic modeling of hidden spiking neurons.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

2021
Local plasticity rules can learn deep representations using self-supervised contrastive predictions.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Fitting summary statistics of neural data with a differentiable spiking network simulator.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

2020
Towards truly local gradients with CLAPP: Contrastive, Local And Predictive Plasticity.
CoRR, 2020

2019
Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets.
CoRR, 2019

2018
Long short-term memory and Learning-to-learn in networks of spiking neurons.
Proceedings of the Advances in Neural Information Processing Systems 31: Annual Conference on Neural Information Processing Systems 2018, 2018

Deep Rewiring: Training very sparse deep networks.
Proceedings of the 6th International Conference on Learning Representations, 2018

2017
Neuromorphic Hardware In The Loop: Training a Deep Spiking Network on the BrainScaleS Wafer-Scale System.
CoRR, 2017

Pattern representation and recognition with accelerated analog neuromorphic systems.
CoRR, 2017



2016
Slow feature analysis with spiking neurons and its application to audio stimuli.
J. Comput. Neurosci., 2016

2014
Creating Audio Based Experiments as Social Web Games with the CASimIR Framework.
Proceedings of the AES International Conference on Semantic Audio 2014, 2014


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