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Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers2022 Parallel Computing article Computer Science Parallel Computing and Optimization Techniques Open access
Jari Pronold, Jakob Jordan, Brian J. N. Wylie, Itaru Kitayama, Markus Diesmann, Susanne Kunkel
27citations -
NMDA-driven dendritic modulation enables multitask representation learning in hierarchical sensory processing pathways2023 Proceedings of the National Academy of Sciences article Neuroscience Neural dynamics and brain function Open access
Willem A. M. Wybo, Matthias C. Tsai, Viet Anh Tran, Bernd Illing, Jakob Jordan, Abigail Morrison, +1 more
25citations -
Routing Brain Traffic Through the Von Neumann Bottleneck: Parallel Sorting and Refactoring2022 Frontiers in Neuroinformatics article Computer Science Parallel Computing and Optimization Techniques Open access
Jari Pronold, Jakob Jordan, Brian J. N. Wylie, Itaru Kitayama, Markus Diesmann, Susanne Kunkel
18citations -
Unified field theoretical approach to deep and recurrent neuronal networks2022 Journal of Statistical Mechanics Theory and Experiment article Computer Science Gaussian Processes and Bayesian Inference Open access
Kai Segadlo, Bastian Epping, Alexander van Meegen, David Dahmen, Moritz Helias
17citations -
A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations2022 Frontiers in Neuroinformatics article Computer Science Parallel Computing and Optimization Techniques Open access
Jasper Albers, Jari Pronold, Anno Christopher Kurth, Stine Brekke Vennemo, Kaveh Haghighi Mood, Alexander Patronis, +6 more
15citations -
The coming decade of digital brain research - A vision for neuroscience at the intersection of technology and computing2022 Zenodo (CERN European Organization for Nuclear Research) article Computer Science Cognitive Computing and Networks Open access
Katrin Amunts, Markus Axer, Lise Bitsch, Jan Gunnar Bjaalie, Andrea Brovelli, Svenja Caspers, +40 more
14citations -
The covariance perceptron: A new paradigm for classification and processing of time series in recurrent neuronal networks2020 PLoS Computational Biology article Computer Science Neural Networks and Applications Open access
Matthieu Gilson, David Dahmen, Rubén Moreno‐Bote, Andrea Insabato, Moritz Helias
11citations