5 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, KarolÃna Korvasová
Brain networks exhibit remarkable structural properties, including high local clustering, short path lengths, and heavy-tailed weight and degree distributions. While these features…
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…
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.…
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…