Darjan Salaj
Darjan Salaj
Institute for Theoretical Computer Science, Graz University of Technology, Austria
Bestätigte E-Mail-Adresse bei igi.tugraz.at - Startseite
Titel
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, 787-797, 2018
982018
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
262019
A solution to the learning dilemma for recurrent networks of spiking neurons. bioRxiv
G Bellec, F Scherr, A Subramoney, E Hajek, D Salaj, R Legenstein, ...
00000, 738385, 2019
72019
A solution to the learning dilemma for recurrent networks of spiking neurons
G Bellec, F Scherr, A Subramoney, E Hajek, D Salaj, R Legenstein, ...
bioRxiv, 738385, 2020
52020
Spike-frequency adaptation provides a long short-term memory to networks of spiking neurons
D Salaj, A Subramoney, C Kraisnikovic, G Bellec, R Legenstein, W Maass
bioRxiv, 2020
2020
Eligibility traces provide a data-inspired alternative to backpropagation through time
G Bellec, F Scherr, E Hajek, D Salaj, A Subramoney, R Legenstein, ...
2019
A solution to the learning dilemma for recurrent
G Bellec, F Scherr, A Subramoney, E Hajek, D Salaj, R Legenstein, ...
Supplementary materials for: A solution to the learning dilemma for recurrent networks of spiking neurons
G Bellec, F Scherr, A Subramoney, E Hajek, D Salaj, R Legenstein, ...
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
Supplementary information for: Long short-term memory and learning-to-learn in networks of spiking neurons
G Bellec, D Salaj, A Subramoney, R Legenstein, W Maass
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