Jakob Jordan

Cited by

	All	Since 2019
Citations	702	641
h-index	14	14
i10-index	20	20

180

135

20152016201720182019202020212022202320243 5 10 42 65 61 92 139 114 169

Public access

View all

20 articles

0 articles

available

not available

Based on funding mandates

Co-authors

Mihai A. PetroviciGroup Leader, NeuroTMA Lab, University of BernVerified email at unibe.ch
Walter SennUniversität BernVerified email at unibe.ch
Markus DiesmannDirector, INM-6 and IAS-6, Jülich Research CentreVerified email at fz-juelich.de
Susanne KunkelNMBUVerified email at nmbu.no
Tom TetzlaffJülich Research Centre, GermanyVerified email at fz-juelich.de
Itaru KitayamaKyushu Tech UniversityVerified email at mail.kyutech.jp
Willem A.M. WyboForschungszentrum JülichVerified email at fz-juelich.de
Moritz HeliasInst. for Neuroscience and medicine (INM-6), Jülich; Faculty of Physics, RWTH AachenVerified email at fz-juelich.de
Karlheinz MeierRuprecht-Karls-Universität HeidelbergVerified email at kip.uni-heidelberg.de
Johannes SchemmelHeidelberg UniversityVerified email at kip.uni-heidelberg.de
Benjamin EllenbergerInstitute of Neuroinformatics, University/ETH ZurichVerified email at ini.phys.ethz.ch
Abigail MorrisonJülich Research CenterVerified email at fz-juelich.de
Jari PronoldForschungszentrum JülichVerified email at fz-juelich.de
Nicolas Deperrois, PhDLLM Engineer, Universität ZürichVerified email at uzh.ch
Mitsuhisa SatoRIKEN Center for Computational ScienceVerified email at cs.tsukuba.ac.jp
João SacramentoGoogleVerified email at joaosacramento.com
Oliver BreitwieserDr. rer. nat., Heidelberg UniversityVerified email at kip.uni-heidelberg.de
Philipp WeidelResearch Scientist at Intel LabsVerified email at intel.com
Laura KrienerPostdoctoral Researcher, Institute of Neuroinformatics, University of Zurich & ETH ZurichVerified email at unibe.ch
Paul HaiderNeuroTMA Lab, University of Bern, SwitzerlandVerified email at unibe.ch

Jakob Jordan

Department of Physiology, University of Bern

Verified email at unibe.ch

biological intelligence computational neuroscience machine learning neuromorphic engineering cognitive science


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	152	2018
Evolving interpretable plasticity for spiking networks J Jordan, M Schmidt, W Senn, MA Petrovici Elife 10, e66273, 2021	52	2021
NEST 2.12. 0 S Kunkel, A Morrison, P Weidel, JM Eppler, A Sinha, W Schenck Zenodo doi 10, 2017	42*	2017
NEST 2.18. 0 J Jordan, R Deepu, J Mitchell, JM Eppler, S Spreizer, J Hahne, ... Jülich Supercomputing Center, 2019	40*	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	38	2021
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	35	2016
NEST 2.20. 0 T Fardet, R Deepu, J Mitchell, JM Eppler, S Spreizer, J Hahne, I Kitayama, ... Computational and Systems Neuroscience, 2020	34	2020
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	33	2021
Learning cortical representations through perturbed and adversarial dreaming N Deperrois, MA Petrovici, W Senn, J Jordan Elife 11, e76384, 2022	31*	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	20	2018
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	18*	2019
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	15	2022
NEST 3.0 J Hahne, S Diaz, A Patronis, W Schenck, A Peyser, S Graber, S Spreizer, ... Zenedo. doi 10, 2021	14	2021
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	13	2022
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	12*	2023
A neuronal least-action principle for real-time learning in cortical circuits W Senn, D Dold, A Kungl, B Ellenberger, J Jordan, Y Bengio, ... bioRxiv, 2023.03. 25.534198, 2023	12	2023
NEST 3.3 S Spreizer, J Mitchell, J Jordan, W Wybo, A Kurth, SB Vennemo, J Pronold, ... Version, 2022	11	2022
Efficient communication in distributed simulations of spiking neuronal networks with gap junctions J Jordan, M Helias, M Diesmann, S Kunkel Frontiers in Neuroinformatics 14, 12, 2020	11	2020

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors