Прати
Jakob Jordan
Jakob Jordan
Department of Physiology, University of Bern
Верификована је имејл адреса на unibe.ch
Наслов
Навело
Навело
Година
Extremely scalable spiking neural network simulation code: from laptops to exascale computers
J Jordan, T Ippen, M Helias, I Kitayama, M Sato, J Igarashi, M Diesmann, ...
Frontiers in Neuroinformatics 12, 2, 2018
1542018
Evolving interpretable plasticity for spiking networks
J Jordan, M Schmidt, W Senn, MA Petrovici
Elife 10, e66273, 2021
532021
NEST 2.12. 0
S Kunkel, A Morrison, P Weidel, JM Eppler, A Sinha, W Schenck
Zenodo doi 10, 2017
43*2017
NEST 2.18. 0
J Jordan, R Deepu, J Mitchell, JM Eppler, S Spreizer, J Hahne, ...
Jülich Supercomputing Center, 2019
42*2019
Data-driven reduction of dendritic morphologies with preserved dendro-somatic responses
WAM Wybo, J Jordan, B Ellenberger, UM Mengual, T Nevian, W Senn
Elife 10, e60936, 2021
382021
NEST 2.20. 0
T Fardet, R Deepu, J Mitchell, JM Eppler, S Spreizer, J Hahne, I Kitayama, ...
Computational and Systems Neuroscience, 2020
362020
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons
P Haider, B Ellenberger, L Kriener, J Jordan, W Senn, MA Petrovici
Thirty-Fifth Conference on Neural Information Processing Systems, 2021
352021
Effect of Heterogeneity on Decorrelation Mechanisms in Spiking Neural Networks: A Neuromorphic-Hardware Study
T Pfeil, J Jordan, T Tetzlaff, A Grübl, J Schemmel, M Diesmann, K Meier
Physical Review X 6 (2), 021023, 2016
342016
Learning cortical representations through perturbed and adversarial dreaming
N Deperrois, MA Petrovici, W Senn, J Jordan
Elife 11, e76384, 2022
32*2022
Deterministic networks for probabilistic computing
J Jordan, MA Petrovici, O Breitwieser, J Schemmel, K Meier, M Diesmann, ...
Scientific Reports 9 (1), 1-17, 2019
31*2019
NEST 2.14. 0
A Peyser, A Sinha, SB Vennemo, T Ippen, J Jordan, S Graber, A Morrison, ...
Zenodo, 2017
28*2017
NEST 2.16. 0
C Linssen, R Deepu, J Mitchell, ME Lepperød, J Garrido, S Spreizer, ...
Jülich Supercomputing Center, 2018
202018
A closed-loop toolchain for neural network simulations of learning autonomous agents
J Jordan, P Weidel, A Morrison
Frontiers in Computational Neuroscience 13, 46, 2019
19*2019
A neuronal least-action principle for real-time learning in cortical circuits
W Senn, D Dold, AF Kungl, B Ellenberger, J Jordan, Y Bengio, ...
ELife 12, RP89674, 2024
182024
NMDA-driven dendritic modulation enables multitask representation learning in hierarchical sensory processing pathways
WAM Wybo, MC Tsai, VAK Tran, B Illing, J Jordan, A Morrison, W Senn
Proceedings of the National Academy of Sciences 120 (32), e2300558120, 2023
172023
Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers
J Pronold, J Jordan, BJN Wylie, I Kitayama, M Diesmann, S Kunkel
Parallel Computing 113, 102952, 2022
152022
A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations
J Albers, J Pronold, AC Kurth, SB Vennemo, KH Mood, A Patronis, ...
Frontiers in neuroinformatics 16, 2022
142022
NEST 3.0
J Hahne, S Diaz, A Patronis, W Schenck, A Peyser, S Graber, S Spreizer, ...
Zenedo. doi 10, 2021
142021
NEST 3.3
S Spreizer, J Mitchell, J Jordan, W Wybo, A Kurth, SB Vennemo, J Pronold, ...
Version, 2022
102022
Routing brain traffic through the von Neumann bottleneck: Parallel sorting and refactoring
J Pronold, J Jordan, BJN Wylie, I Kitayama, M Diesmann, S Kunkel
Frontiers in neuroinformatics 15, 2021
102021
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Чланци 1–20