Jakob Jordan

23 papers A* 1Journal 18Unranked 3
YearRankTypeTitle / Venue / Authors
2025 J jnl
ElastoNet: Neural network-based multicomponent MR elastography wave inversion with uncertainty quantification.
Medical Image Anal.
Héloïse Bustin, Tom Meyer, Rolf Reiter, Jakob Jordan, Lars Walczak, Heiko Tzschätzsch, Ingolf Sack, Anja Hennemuth
2025 — conf
Multifrequency Neural Network-Based Wave Inversion in MR Elastography.
MICCAI (3)
Héloïse Bustin, Tom Meyer, Jakob Jordan, Lars Walczak, Heiko Tzschätzsch, Ingolf Sack, Anja Hennemuth
2024 J jnl
Backpropagation through space, time, and the brain.
CoRR
Benjamin Ellenberger, Paul Haider, Jakob Jordan, Kevin Max, Ismael Jaras, Laura Kriener, Federico Benitez, Mihai A. Petrovici
2024 J jnl
Conductance-based dendrites perform Bayes-optimal cue integration.
PLoS Comput. Biol.
Jakob Jordan, João Sacramento, Willem A. M. Wybo, Mihai A. Petrovici, Walter Senn
2024 J jnl
Time-Harmonic Optical Flow with Applications in Elastography.
CoRR
Oleh Melnyk, Michael Quellmalz, Gabriele Steidl, Noah Jaitner, Jakob Jordan, Ingolf Sack
2023 J jnl
Learning beyond sensations: how dreams organize neuronal representations.
CoRR
Nicolas Deperrois, Mihai A. Petrovici, Walter Senn, Jakob Jordan
2022 J jnl
A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations.
Frontiers Neuroinformatics
Jasper Albers, Jari Pronold, Anno Christopher Kurth, Stine Brekke Vennemo, Kaveh Haghighi Mood, Alexander Patronis, Dennis Terhorst, Jakob Jordan, Susanne Kunkel, Tom Tetzlaff, Markus Diesmann, Johanna Senk
2022 J jnl
DELAUNAY: a dataset of abstract art for psychophysical and machine learning research.
CoRR
Camille Gontier, Jakob Jordan, Mihai A. Petrovici
2022 J jnl
Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers.
Parallel Comput.
Jari Pronold, Jakob Jordan, Brian J. N. Wylie, Itaru Kitayama, Markus Diesmann, Susanne Kunkel
2022 J jnl
Three-Dimensional Coherent Diffractive Imaging of Isolated Faceted Nanostructures.
CoRR
Alessandro Colombo, Simon Dold, Patrice Kolb, Nils Bernhardt, Patrick Behrens, Jonathan Correa, Stefan Düsterer, Benjamin Erk, Linos Hecht, Andrea Heilrath, Robert Irsig, Norman Iwe, Jakob Jordan, Björn Kruse, Bruno Langbehn, Bastian Manschwetus, Franklin Martinez, Karl-Heinz Meiwes-Broer, Kevin Oldenburg, Christopher Passow, Christian Peltz, Mario Sauppe, Fabian Seel, Rico Mayro P. Tanyag, Rolf Treusch, Anatoli Ulmer, Saida Walz, Thomas Fennel, Ingo Barke, Thomas Möller, Bernd von Issendorff, Daniela Rupp
2021 J jnl
Evolving Neuronal Plasticity Rules using Cartesian Genetic Programming.
CoRR
Henrik D. Mettler, Maximilian Schmidt, Walter Senn, Mihai A. Petrovici, Jakob Jordan
2021 — conf
Evolving neuronal plasticity rules using cartesian genetic programming.
GECCO Companion
Henrik D. Mettler, Maximilian Schmidt, Walter Senn, Mihai A. Petrovici, Jakob Jordan
2021 J jnl
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons.
CoRR
Paul Haider, Benjamin Ellenberger, Laura Kriener, Jakob Jordan, Walter Senn, Mihai A. Petrovici
2021 A* conf
Latent Equilibrium: Arbitrarily fast computation with arbitrarily slow neurons.
NeurIPS
Paul Haider, Benjamin Ellenberger, Laura Kriener, Jakob Jordan, Walter Senn, Mihai A. Petrovici
2021 J jnl
Memory semantization through perturbed and adversarial dreaming.
CoRR
Nicolas Deperrois, Mihai A. Petrovici, Walter Senn, Jakob Jordan
2021 J jnl
Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers.
CoRR
Jari Pronold, Jakob Jordan, Brian J. N. Wylie, Itaru Kitayama, Markus Diesmann, Susanne Kunkel
2021 J jnl
Uncovering Neuronal Learning Principles through Artificial Evolution.
ERCIM News
Henrik D. Mettler, Virginie Sabado, Walter Senn, Mihai A. Petrovici, Jakob Jordan
2020 — conf
Conductance-based dendrites perform reliability-weighted opinion pooling.
NICE
Jakob Jordan, Mihai A. Petrovici, Walter Senn, João Sacramento
2020 J jnl
Efficient Communication in Distributed Simulations of Spiking Neuronal Networks With Gap Junctions.
Frontiers Neuroinformatics
Jakob Jordan, Moritz Helias, Markus Diesmann, Susanne Kunkel
2019 J jnl
A Closed-Loop Toolchain for Neural Network Simulations of Learning Autonomous Agents.
Frontiers Comput. Neurosci.
Jakob Jordan, Philipp Weidel, Abigail Morrison
2018 J jnl
Corrigendum: Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers.
Frontiers Neuroinformatics
Jakob Jordan, Tammo Ippen, Moritz Helias, Itaru Kitayama, Mitsuhisa Sato, Jun Igarashi, Markus Diesmann, Susanne Kunkel
2018 J jnl
Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers.
Frontiers Neuroinformatics
Jakob Jordan, Tammo Ippen, Moritz Helias, Itaru Kitayama, Mitsuhisa Sato, Jun Igarashi, Markus Diesmann, Susanne Kunkel
2018 — —
Probabilistic neural computation and neural simulation technology.
Jakob Jordan