Guillaume BELLEC
École Polytechnique Fédérale de Lausanne
H-index: 10
Europe-Switzerland
Top articles of Guillaume BELLEC
Fast learning without synaptic plasticity in spiking neural networks
Scientific Reports
2024/4/12
Anand Subramoney
H-Index: 5
Guillaume Bellec
H-Index: 9
Franz Scherr
H-Index: 4
Robert Legenstein
H-Index: 25
Wolfgang Maass
H-Index: 47
Trial matching: capturing variability with data-constrained spiking neural networks
Advances in neural information processing systems
2024/2/13
Spiking Music: Audio Compression with Event Based Auto-encoders
arXiv preprint arXiv:2402.01571
2024/2/2
Guillaume Bellec
H-Index: 9
Corrigendum to'An exact mapping from ReLU networks to spiking neural networks'[Neural Networks Volume 168 (2023) Pages 74-88]
Neural networks: the official journal of the International Neural Network Society
2023/11/13
Ana Stanojevic
H-Index: 5
Guillaume Bellec
H-Index: 9
Angeliki Pantazi
H-Index: 21
Wulfram Gerstner
H-Index: 50
An exact mapping from ReLU networks to spiking neural networks
Neural Networks
2023/11/1
Ana Stanojevic
H-Index: 5
Guillaume Bellec
H-Index: 9
Angeliki Pantazi
H-Index: 21
Wulfram Gerstner
H-Index: 50
Are training trajectories of deep single-spike and deep ReLU network equivalent?
arXiv preprint arXiv:2306.08744
2023/6/14
Ana Stanojevic
H-Index: 5
Guillaume Bellec
H-Index: 9
Angeliki Pantazi
H-Index: 21
Wulfram Gerstner
H-Index: 50
GateON: an unsupervised method for large scale continual learning
arXiv preprint arXiv:2306.01690
2023/6/2
Guillaume Bellec
H-Index: 9
Wulfram Gerstner
H-Index: 50
Mesoscopic modeling of hidden spiking neurons
Advances in Neural Information Processing Systems
2022
Guillaume Bellec
H-Index: 9
Wulfram Gerstner
H-Index: 50
Local plasticity rules can learn deep representations using self-supervised contrastive predictions
Thirty-Fifth Conference on Neural Information Processing Systems, 2021
2021/11/30
Spike frequency adaptation supports network computations on temporally dispersed information
Elife
2021/7/26
on STORE-RECALL task.
2021/6/18
Darjan Salaj
H-Index: 4
Anand Subramoney
H-Index: 5
Guillaume Bellec
H-Index: 9
Robert Legenstein
H-Index: 25
Wolfgang Maass
H-Index: 47
Fitting summary statistics of neural data with a differentiable spiking network simulator
Advances in Neural Information Processing Systems
2021/6/18
Revisiting the role of synaptic plasticity and network dynamics for fast learning in spiking neural networks
bioRxiv
2021/1/27
Anand Subramoney
H-Index: 5
Guillaume Bellec
H-Index: 9
Franz Scherr
H-Index: 4
Robert Legenstein
H-Index: 25
Wolfgang Maass
H-Index: 47
Spike-frequency adaptation contributes long short-term memory to networks of spiking neurons
2020/9/29
A solution to the learning dilemma for recurrent networks of spiking neurons
Nature Communications
2020/7/17