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Guillaume BELLEC
Guillaume BELLEC
EPFL
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Zitiert von
Zitiert von
Jahr
Long short-term memory and learning-to-learn in networks of spiking neurons
G Bellec*, D Salaj*, A Subramoney*, R Legenstein, W Maass
Advances in Neural Information Processing Systems 31, 2018
2912018
A solution to the learning dilemma for recurrent networks of spiking neurons
G Bellec*, F Scherr*, A Subramoney, E Hajek, D Salaj, R Legenstein, ...
Nature Communications 11 (3625), 2020
1722020
Deep rewiring: Training very sparse deep networks
G Bellec, D Kappel, W Maass, R Legenstein
ICLR 2018, 2017
1572017
Neuromorphic hardware in the loop: Training a deep spiking network on the brainscales wafer-scale system
S Schmitt, J Klähn, G Bellec, A Grübl, M Guettler, A Hartel, S Hartmann, ...
2017 international joint conference on neural networks (IJCNN), 2227-2234, 2017
1282017
Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets
G Bellec, F Scherr, E Hajek, D Salaj, R Legenstein, W Maass
arXiv preprint arXiv:1901.09049, 2019
752019
Memory-efficient deep learning on a SpiNNaker 2 prototype
C Liu, G Bellec, B Vogginger, D Kappel, J Partzsch, F Neumärker, ...
Frontiers in neuroscience 12, 840, 2018
452018
Pattern representation and recognition with accelerated analog neuromorphic systems
MA Petrovici, S Schmitt, J Klähn, D Stöckel, A Schroeder, G Bellec, J Bill, ...
2017 IEEE International Symposium on Circuits and Systems (ISCAS), 1-4, 2017
182017
Spike frequency adaptation supports network computations on temporally dispersed information
D Salaj, A Subramoney, C Kraisnikovic, G Bellec, R Legenstein, W Maass
Elife 10, e65459, 2021
15*2021
Local plasticity rules can learn deep representations using self-supervised contrastive predictions
B Illing, J Ventura, G Bellec*, W Gerstner*
Advances in Neural Information Processing Systems 34, 2021
9*2021
Classification with deep neural networks on an accelerated analog neuromorphic system
S Schmitt, J Klähn, G Bellec, A Grübl, M Güttler, A Hartel, S Hartmann, ...
Proceedings of the 2017 IEEE International Joint Conference on Neural Networks, 2017
92017
A solution to the learning dilemma for recurrent networks of spiking neurons Nat
G Bellec, F Scherr, A Subramoney, E Hajek, D Salaj, R Legenstein, ...
Commun 11 (1), 1, 2020
82020
Eligibility traces provide a data-inspired alternative to backpropagation through time
G Bellec, F Scherr, E Hajek, D Salaj, A Subramoney, R Legenstein, ...
52019
Slow feature analysis with spiking neurons and its application to audio stimuli
G Bellec, M Galtier, R Brette, P Yger
Journal of computational neuroscience 40 (3), 317-329, 2016
32016
Creating audio based experiments as social web games with the casimir framework
D Wolff, G Bellec, A Friberg, A MacFarlane, T Weyde
Audio Engineering Society Conference: 53rd International Conference …, 2014
32014
Fitting summary statistics of neural data with a differentiable spiking network simulator
G Bellec*, S Wang*, A Modirshanechi, J Brea, W Gerstner
Advances in Neural Information Processing Systems 34, 2021
22021
A social network integrated game experiment to relate tapping to speed perception and explore rhythm reproduction
G Bellec, A Elowsson, A Friberg, D Wolff, T Weyde
Proceedings of the Sound and Music Computing Conference 30, 19-26, 2013
22013
Revisiting the role of synaptic plasticity and network dynamics for fast learning in spiking neural networks
A Subramoney, G Bellec, F Scherr, R Legenstein, W Maass
bioRxiv, 2021
12021
Slow processes of neurons enable a biologically plausible approximation to policy gradient
A Subramoney, G Bellec, F Scherr, A Subramoney, E Hajek, D Salaj, ...
33nd NeurIPS workshop, 2019
12019
A music similarity game prototype using the CASimIR API
D Wolff, G Bellec, T Weyde
Online Proc. of ISMIR Late Breaking Sessions, 2012
12012
Biologically inspired alternatives to backpropagation through time for learning in recurrent neural networks
G Bellec, F Scherr, D Salaj, E Hajek, R Legenstein, W Maass
1
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