Jakob Jordan

According to our database, Jakob Jordan authored at least 17 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Backpropagation through space, time, and the brain.

Benjamin Ellenberger, Paul Haider, Jakob Jordan, Kevin Max, Ismael Jaras, Laura Kriener, Federico Benitez, Mihai A. Petrovici

CoRR, 2024

2023

Learning beyond sensations: how dreams organize neuronal representations.

Nicolas Deperrois, Mihai A. Petrovici, Walter Senn, Jakob Jordan

CoRR, 2023

2022

Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers.

Jari Pronold, Jakob Jordan, Brian J. N. Wylie, Itaru Kitayama, Markus Diesmann, Susanne Kunkel

Parallel Comput., 2022

A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations.

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

Frontiers Neuroinformatics, 2022

Three-Dimensional Coherent Diffractive Imaging of Isolated Faceted Nanostructures.

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

CoRR, 2022

DELAUNAY: a dataset of abstract art for psychophysical and machine learning research.

Camille Gontier, Jakob Jordan, Mihai A. Petrovici

CoRR, 2022

2021

Uncovering Neuronal Learning Principles through Artificial Evolution.

Henrik D. Mettler, Virginie Sabado, Walter Senn, Mihai A. Petrovici, Jakob Jordan

ERCIM News, 2021

Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons.

Paul Haider, Benjamin Ellenberger, Laura Kriener, Jakob Jordan, Walter Senn, Mihai A. Petrovici

CoRR, 2021

Memory semantization through perturbed and adversarial dreaming.

Nicolas Deperrois, Mihai A. Petrovici, Walter Senn, Jakob Jordan

CoRR, 2021

Latent Equilibrium: Arbitrarily fast computation with arbitrarily slow neurons.

Paul Haider, Benjamin Ellenberger, Laura Kriener, Jakob Jordan, Walter Senn, Mihai A. Petrovici

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Evolving neuronal plasticity rules using cartesian genetic programming.

Henrik D. Mettler, Maximilian Schmidt, Walter Senn, Mihai A. Petrovici, Jakob Jordan

Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021

2020

Efficient Communication in Distributed Simulations of Spiking Neuronal Networks With Gap Junctions.

Jakob Jordan, Moritz Helias, Markus Diesmann, Susanne Kunkel

Frontiers Neuroinformatics, 2020

Conductance-based dendrites perform reliability-weighted opinion pooling.

Jakob Jordan, Mihai A. Petrovici, Walter Senn, João Sacramento

Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

2019

A Closed-Loop Toolchain for Neural Network Simulations of Learning Autonomous Agents.

Jakob Jordan, Philipp Weidel, Abigail Morrison

Frontiers Comput. Neurosci., 2019

2018

Probabilistic neural computation and neural simulation technology.

Jakob Jordan

PhD thesis, 2018

Corrigendum: Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers.

Jakob Jordan, Tammo Ippen, Moritz Helias, Itaru Kitayama, Mitsuhisa Sato, Jun Igarashi, Markus Diesmann, Susanne Kunkel

Frontiers Neuroinformatics, 2018

Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers.

Jakob Jordan, Tammo Ippen, Moritz Helias, Itaru Kitayama, Mitsuhisa Sato, Jun Igarashi, Markus Diesmann, Susanne Kunkel

Frontiers Neuroinformatics, 2018