52 citations · 182 across the 14 of their papers we have counts for
15 papers
Rewiring of adult neural networks - learning from structural plasticity across multiple scales
Michael Fauth, Han Lu, Jannik Luboeinski +36
Synaptic connections are continuously formed and eliminated even in adult neuronal networks. This process - called structural plasticity - allows networks to change their topology…
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…
Scalable Construction of Spiking Neural Networks using up to thousands of GPUs
Bruno Golosio, Gianmarco Tiddia, José Villamar +10
Diverse scientific and engineering research areas deal with discrete, time-stamped changes in large systems of interacting delay differential equations. Simulating such complex sys…
A flexible framework for structural plasticity in GPU-accelerated sparse spiking neural networks
James C. Knight, Johanna Senk, Thomas Nowotny
The majority of research in both training Artificial Neural Networks (ANNs) and modeling learning in biological brains focuses on synaptic plasticity, where learning equates to cha…
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…
Metadata practices for simulation workflows
José Villamar, Matthias Kelbling, Heather L. More +4
Computer simulations are an essential pillar of knowledge generation in science. Exploring, understanding, reproducing, and sharing the results of simulations relies on tracking an…
Runtime Construction of Large-Scale Spiking Neuronal Network Models on GPU Devices
Bruno Golosio, Jose Villamar, Gianmarco Tiddia +6
Simulation speed matters for neuroscientific research: this includes not only how quickly the simulated model time of a large-scale spiking neuronal network progresses, but also ho…
Phenomenological modeling of diverse and heterogeneous synaptic dynamics at natural density
Agnes Korcsak-Gorzo, Charl Linssen, Jasper Albers +9
This chapter sheds light on the synaptic organization of the brain from the perspective of computational neuroscience. It provides an introductory overview on how to account for em…
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…
Connectivity Concepts in Neuronal Network Modeling
Johanna Senk, Birgit Kriener, Mikael Djurfeldt +7
Sustainable research on computational models of neuronal networks requires published models to be understandable, reproducible, and extendable. Missing details or ambiguities about…
Prominent characteristics of recurrent neuronal networks are robust against low synaptic weight resolution
Stefan Dasbach, Tom Tetzlaff, Markus Diesmann +1
The representation of the natural-density, heterogeneous connectivity of neuronal network models at relevant spatial scales remains a challenge for Computational Neuroscience and N…
Reconciliation of weak pairwise spike-train correlations and highly coherent local field potentials across space
Johanna Senk, Espen Hagen, Sacha J. van Albada +1
Multi-electrode arrays covering several square millimeters of neural tissue provide simultaneous access to population signals such as extracellular potentials and spiking activity…
VIOLA - A multi-purpose and web-based visualization tool for neuronal-network simulation output
Johanna Senk, Corto Carde, Espen Hagen +3
Neuronal network models and corresponding computer simulations are invaluable tools to aid the interpretation of the relationship between neuron properties, connectivity and measur…
Conditions for wave trains in spiking neural networks
Johanna Senk, Karolína Korvasová, Jannis Schuecker +4
Spatiotemporal patterns such as traveling waves are frequently observed in recordings of neural activity. The mechanisms underlying the generation of such patterns are largely unkn…