Darjan Salaj
Darjan Salaj
Institute for Theoretical Computer Science, Graz University of Technology, Austria
Verified email at igi.tugraz.at - Homepage
Title
Cited by
Cited by
Year
Long short-term memory and learning-to-learn in networks of spiking neurons
G Bellec, D Salaj, A Subramoney, R Legenstein, W Maass
arXiv preprint arXiv:1803.09574, 2018
1572018
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 (1), 1-15, 2020
482020
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
452019
Advances in Neural Information Processing Systems
G Bellec, D Salaj, A Subramoney, R Legenstein, W Maass
Curran Associates, Inc., 2018
82018
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
32020
Eligibility traces provide a data-inspired alternative to backpropagation through time
G Bellec, F Scherr, E Hajek, D Salaj, A Subramoney, R Legenstein, ...
32019
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
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
Spike frequency adaptation supports network computations
D Salaj, A Subramoney, C Kraišnikovic, G Bellec, R Legenstein, W Maass
2020
Spike-frequency adaptation contributes long short-term memory to networks of spiking neurons
A Subramoney, C Kraisnikovic, D Salaj, GEF Bellec, R Legenstein, ...
Bernstein Conference, 2020
2020
Spike-frequency adaptation provides a long short-term
D Salaj, A Subramoney, C Kraišnikovic, G Bellec, R Legenstein, W Maass
2020
Spike frequency adaptation supports network computations on temporally dispersed information
D Salaj, A Subramoney, C Kraišniković, G Bellec, R Legenstein, W Maass
bioRxiv, 2020
2020
A solution to the learning dilemma for recurrentnetworks of spiking neurons Download PDF Open Website
G Bellec, F Scherr, A Subramoney, E Hajek, D Salaj, R Legenstein, ...
Long short-term memory and learning-to-learn in networks of spiking neurons Download PDF
G Bellec, D Salaj, A Subramoney, R Legenstein, W Maass
Biologically inspired alternatives to backpropagation through time for learning in recurrent neural nets Download PDF
G Bellec, F Scherr, E Hajek, D Salaj, R Legenstein, W Maass
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, ...
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