Jakob Jordan

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Mihai A. PetroviciGroup Leader, NeuroTMA Lab, University of BernVerified email at unibe.ch
Susanne KunkelNMBUVerified email at nmbu.no
Walter SennInstitut für Physiologie, Universität Bern, SwitzerlandVerified email at pyl.unibe.ch
Tom TetzlaffJülich Research Centre, GermanyVerified email at fz-juelich.de
Itaru KItayamaKyushu Tech UniversityVerified email at mail.kyutech.jp
Moritz HeliasInst. for Neuroscience and medicine (INM-6), Jülich; Faculty of Physics, RWTH AachenVerified email at fz-juelich.de
Johannes SchemmelHeidelberg UniversityVerified email at kip.uni-heidelberg.de
Karlheinz MeierRuprecht-Karls-Universität HeidelbergVerified email at kip.uni-heidelberg.de
Markus DiesmannDirector, INM-6 and IAS-6, Jülich Research CentreVerified email at fz-juelich.de
Mitsuhisa SatoRIKEN Center for Computational ScienceVerified email at cs.tsukuba.ac.jp
Oliver BreitwieserDr. rer. nat., Heidelberg UniversityVerified email at kip.uni-heidelberg.de
Thomas PfeilRecogniVerified email at mailbox.org
Andreas GrüblHeidelberg UniversityVerified email at kip.uni-heidelberg.de
Willem A.M. WyboForschungszentrum JülichVerified email at fz-juelich.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
Philipp WeidelResearch Scientist at Intel LabsVerified email at intel.com
Nicolas DeperroisPostdoc, Universität Bern - MSc, École Normale Supérieure de ParisVerified email at unibe.ch
Laura KrienerPhD Student, University of BernVerified 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


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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	117	2018
NEST 2.12. 0 S Kunkel, A Morrison, P Weidel, JM Eppler, A Sinha, W Schenck Zenodo doi 10, 2017	41*	2017
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	34	2016
NEST 2.18. 0 J Jordan, R Deepu, J Mitchell, JM Eppler, S Spreizer, J Hahne, ... Jülich Supercomputing Center, 2019	25*	2019
NEST 2.14. 0 A Peyser, A Sinha, SB Vennemo, T Ippen, J Jordan, S Graber, A Morrison, ... Zenodo, 2017	23	2017
NEST 2.20. 0 T Fardet, R Deepu, J Mitchell, JM Eppler, S Spreizer, J Hahne, I Kitayama, ... Computational and Systems Neuroscience, 2020	21	2020
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	18	2021
Evolving interpretable plasticity for spiking networks J Jordan, M Schmidt, W Senn, MA Petrovici Elife 10, e66273, 2021	17*	2021
NEST 2.16. 0 C Linssen, R Deepu, J Mitchell, ME Lepperød, J Garrido, S Spreizer, ... Jülich Supercomputing Center, 2018	17	2018
Deterministic networks for probabilistic computing J Jordan, MA Petrovici, O Breitwieser, J Schemmel, K Meier, M Diesmann, ... Scientific Reports 9 (1), 1-17, 2019	16	2019
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	12	2021
Closing the loop between neural network simulators and the OpenAI Gym J Jordan, P Weidel, A Morrison arXiv preprint arXiv:1709.05650, 2017	9	2017
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	8	2020
NEST 2.8. 0 JM Eppler, R Deepu, C Bachmann, T Zito, A Peyser, J Jordan, R Pauli, ... JARA-HPC, 2015	8	2015
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	6	2019
Learning cortical representations through perturbed and adversarial dreaming N Deperrois, MA Petrovici, W Senn, J Jordan Elife 11, e76384, 2022	5*	2022
Evolving neuronal plasticity rules using cartesian genetic programming HD Mettler, M Schmidt, W Senn, MA Petrovici, J Jordan Proceedings of the Genetic and Evolutionary Computation Conference Companion …, 2021	5	2021
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	5	2021
Stochastic neural computation without noise J Jordan, MA Petrovici, O Breitwieser, J Schemmel, K Meier, M Diesmann, ... arXiv preprint arXiv:1710.04931, 2017	5	2017
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	3	2022

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