Jakob Jordan
Orcid: 0000-0003-3438-5001
According to our database1,
Jakob Jordan
authored at least 19 papers
between 2018 and 2024.
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Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2024
PLoS Comput. Biol., 2024
2023
2022
Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers.
Parallel Comput., 2022
Frontiers Neuroinformatics, 2022
CoRR, 2022
DELAUNAY: a dataset of abstract art for psychophysical and machine learning research.
CoRR, 2022
2021
ERCIM News, 2021
Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons.
CoRR, 2021
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021
Proceedings of the GECCO '21: Genetic and Evolutionary Computation Conference, 2021
2020
Efficient Communication in Distributed Simulations of Spiking Neuronal Networks With Gap Junctions.
Frontiers Neuroinformatics, 2020
Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020
2019
A Closed-Loop Toolchain for Neural Network Simulations of Learning Autonomous Agents.
Frontiers Comput. Neurosci., 2019
2018
Corrigendum: Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers.
Frontiers Neuroinformatics, 2018
Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers.
Frontiers Neuroinformatics, 2018