27 citations · 48 across the 8 of their papers we have counts for
8 papers
Continuous benchmarking: Keeping pace with an evolving ecosystem of models and technologies
Jan Vogelsang, Melissa Lober, Catherine Mia Schöfmann +7
Drawing on ideas from continuous integration, we present concepts of an automated benchmarking pipeline for high performance applications. Customization and collaboration have been…
Geometric developmental principles for the emergence of brain-like weighted and directed neuronal networks
Aitor Morales-Gregorio, Anno C. Kurth, Karolína Korvasová
Brain networks exhibit remarkable structural properties, including high local clustering, short path lengths, and heavy-tailed weight and degree distributions. While these features…
Synchronization and semantization in deep spiking networks
Jonas Oberste-Frielinghaus, Anno C. Kurth, Julian Göltz +4
Recent studies have shown how spiking networks can learn complex functionality through error-correcting plasticity, but the resulting structures and dynamics remain poorly studied.…
Constructive community race: full-density spiking neural network model drives neuromorphic computing
Johanna Senk, Anno C. Kurth, Steve Furber +18
The local circuitry of the mammalian brain is a focus of the search for generic computational principles because it is largely conserved across species and modalities. In 2014 a mo…
Assessing the similarity of real matrices with arbitrary shape
Jasper Albers, Anno C. Kurth, Robin Gutzen +5
Assessing the similarity of matrices is valuable for analyzing the extent to which data sets exhibit common features in tasks such as data clustering, dimensionality reduction, pat…
The Distribution of Unstable Fixed Points in Chaotic Neural Networks
Jakob Stubenrauch, Christian Keup, Anno C. Kurth +2
We analytically determine the number and distribution of fixed points in a canonical model of a chaotic neural network. This distribution reveals that fixed points and dynamics are…
A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations
Jasper Albers, Jari Pronold, Anno Christopher Kurth +9
Modern computational neuroscience strives to develop complex network models to explain dynamics and function of brains in health and disease. This process goes hand in hand with ad…
Sub-realtime simulation of a neuronal network of natural density
Anno C. Kurth, Johanna Senk, Dennis Terhorst +2
Full scale simulations of neuronal network models of the brain are challenging due to the high density of connections between neurons. This contribution reports run times shorter t…