Jakob Jordan

According to our database1, Jakob Jordan authored at least 15 papers between 2018 and 2022.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Other 

Links

On csauthors.net:

Bibliography

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

A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations.
Frontiers Neuroinformatics, 2022

Three-Dimensional Coherent Diffractive Imaging of Isolated Faceted Nanostructures.
CoRR, 2022

DELAUNAY: a dataset of abstract art for psychophysical and machine learning research.
CoRR, 2022

2021
Uncovering Neuronal Learning Principles through Artificial Evolution.
ERCIM News, 2021

Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons.
CoRR, 2021

Memory semantization through perturbed and adversarial dreaming.
CoRR, 2021

Latent Equilibrium: Arbitrarily fast computation with arbitrarily slow neurons.
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.
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

Conductance-based dendrites perform reliability-weighted opinion pooling.
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
Probabilistic neural computation and neural simulation technology.
PhD thesis, 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


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