Felix Schürmann

Orcid: 0000-0001-5379-8560

According to our database1, Felix Schürmann authored at least 71 papers between 2001 and 2023.

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



In proceedings 
PhD thesis 


On csauthors.net:


Online interoperable resources for building hippocampal neuron models via the Hippocampus Hub.
Frontiers Neuroinformatics, March, 2023

Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute.
Frontiers Neuroinformatics, March, 2023

EBRAINS Live Papers - Interactive Resource Sheets for Computational Studies in Neuroscience.
Neuroinformatics, January, 2023

Ultraliser: a framework for creating multiscale, high-fidelity and geometrically realistic 3D models for <i>in silico</i> neuroscience.
Briefings Bioinform., January, 2023

MOD2IR: High-Performance Code Generation for a Biophysically Detailed Neuronal Simulation DSL.
Proceedings of the 32nd ACM SIGPLAN International Conference on Compiler Construction, 2023

STEPS 4.0: Fast and memory-efficient molecular simulations of neurons at the nanoscale.
Frontiers Neuroinformatics, 2022

Modernizing the NEURON Simulator for Sustainability, Portability, and Performance.
Frontiers Neuroinformatics, 2022

Supervised Learning With Perceptual Similarity for Multimodal Gene Expression Registration of a Mouse Brain Atlas.
Frontiers Neuroinformatics, 2021

Metaball skinning of synthetic astroglial morphologies into realistic mesh models for in silico simulations and visual analytics.
Bioinform., 2021

Polynomial Evaluation on Superscalar Architecture, Applied to the Elementary Function <i>e</i><sup><i>x</i></sup>.
ACM Trans. Math. Softw., 2020

Understanding Computational Costs of Cellular-Level Brain Tissue Simulations Through Analytical Performance Models.
Neuroinformatics, 2020

Analytic performance modeling and analysis of detailed neuron simulations.
Int. J. High Perform. Comput. Appl., 2020

Efficient Distributed Transposition Of Large-Scale Multigraphs And High-Cardinality Sparse Matrices.
CoRR, 2020

Interactive visualization and analysis of morphological skeletons of brain vasculature networks with VessMorphoVis.
Bioinform., 2020

Fully-Asynchronous Fully-Implicit Variable-Order Variable-Timestep Simulation of Neural Networks.
Proceedings of the Computational Science - ICCS 2020, 2020

An Optimizing Multi-platform Source-to-source Compiler Framework for the NEURON MODeling Language.
Proceedings of the Computational Science - ICCS 2020, 2020

Asynchronous Branch-Parallel Simulation of Detailed Neuron Models.
Frontiers Neuroinformatics, 2019

CoreNEURON : An Optimized Compute Engine for the NEURON Simulator.
Frontiers Neuroinformatics, 2019

High Fidelity Visualization of Large Scale Digitally Reconstructed Brain Circuitry with Signed Distance Functions.
Proceedings of the 30th IEEE Visualization Conference, 2019

Generating High Fidelity Surface Meshes of Neocortical Neurons using Skin Modifiers.
Proceedings of the Computer Graphics & Visual Computing, 2019

Exploiting Flow Graph of System of ODEs to Accelerate the Simulation of Biologically-Detailed Neural Networks.
Proceedings of the 2019 IEEE International Parallel and Distributed Processing Symposium, 2019

Fully-Asynchronous Cache-Efficient Simulation of Detailed Neural Networks.
Proceedings of the Computational Science - ICCS 2019, 2019

The physiological variability of channel density in hippocampal CA1 pyramidal cells and interneurons explored using a unified data-driven modeling workflow.
PLoS Comput. Biol., 2018

NeuroMorphoVis: a collaborative framework for analysis and visualization of neuronal morphology skeletons reconstructed from microscopy stacks.
Bioinform., 2018

Accelerating Data Analysis in Simulation Neuroscience with Big Data Technologies.
Proceedings of the Computational Science - ICCS 2018, 2018

A Physically Plausible Model for Rendering Highly Scattering Fluorescent Participating Media.
CoRR, 2017

Reconstruction and visualization of large-scale volumetric models of neocortical circuits for physically-plausible in silico optical studies.
BMC Bioinform., 2017

Bio-physically plausible visualization of highly scattering fluorescent neocortical models for in silico experimentation.
BMC Bioinform., 2017

Neuromapp: A Mini-application Framework to Improve Neural Simulators.
Proceedings of the High Performance Computing - 32nd International Conference, 2017

From Big Data to Big Displays High-Performance Visualization at Blue Brain.
Proceedings of the High Performance Computing, 2017

Simulation Neurotechnologies for Advancing Brain Research: Parallelizing Large Networks in NEURON.
Neural Comput., 2016

BluePyOpt: Leveraging Open Source Software and Cloud Infrastructure to Optimise Model Parameters in Neuroscience.
Frontiers Neuroinformatics, 2016

An Efficient Parallel Load-Balancing Framework for Orthogonal Decomposition of Geometrical Data.
Proceedings of the High Performance Computing - 31st International Conference, 2016

Leveraging a Cluster-Booster Architecture for Brain-Scale Simulations.
Proceedings of the High Performance Computing - 31st International Conference, 2016

Key/Value-Enabled Flash Memory for Complex Scientific Workflows with On-Line Analysis and Visualization.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium, 2016

Physically-based Rendering of Highly Scattering Fluorescent Solutions using Path Tracing.
Proceedings of the 37th Annual Conference of the European Association for Computer Graphics, 2016

Physically-based in silico light sheet microscopy for visualizing fluorescent brain models.
BMC Bioinform., December, 2015

An Exclusion Zone for Ca<sup>2+</sup> Channels around Docked Vesicles Explains Release Control by Multiple Channels at a CNS Synapse.
PLoS Comput. Biol., 2015

Performance evaluation of the IBM POWER8 architecture to support computational neuroscientific application using morphologically detailed neurons.
Proceedings of the 6th International Workshop on Performance Modeling, 2015

Nix based fully automated workflows and ecosystem to guarantee scientific result reproducibility across software environments and systems.
Proceedings of the 3rd International Workshop on Software Engineering for High Performance Computing in Computational Science and Engineering, 2015

Simulating Morphologically Detailed Neuronal Networks at Extreme Scale.
Proceedings of the Parallel Computing: On the Road to Exascale, 2015

A Computational Model of Light-Sheet Fluorescence Microscopy using Physically-based Rendering.
Proceedings of the 36th Annual Conference of the European Association for Computer Graphics, 2015

Rebasing I/O for Scientific Computing: Leveraging Storage Class Memory in an IBM BlueGene/Q Supercomputer.
Proceedings of the Supercomputing - 29th International Conference, 2014

Cyme: A Library Maximizing SIMD Computation on User-Defined Containers.
Proceedings of the Supercomputing - 29th International Conference, 2014

OCTOPUS: Efficient query execution on dynamic mesh datasets.
Proceedings of the IEEE 30th International Conference on Data Engineering, Chicago, 2014

Practical Parallel Rendering of Detailed Neuron Simulations.
Proceedings of the 13th Eurographics Symposium on Parallel Graphics and Visualization, 2013

A Neuron Membrane Mesh Representation for Visualization of Electrophysiological Simulations.
IEEE Trans. Vis. Comput. Graph., 2012

SCOUT: Prefetching for Latent Feature Following Queries.
Proc. VLDB Endow., 2012

HPCS 2012 keynotes: Tuesday keynote: Europe back in the HPC race: Building a European ecosystem to recover and maintain the capacity of designing and building large computers.
Proceedings of the 2012 International Conference on High Performance Computing & Simulation, 2012

Accelerating Range Queries for Brain Simulations.
Proceedings of the IEEE 28th International Conference on Data Engineering (ICDE 2012), 2012

Parallel Rendering on Hybrid Multi-GPU Clusters.
Proceedings of the 12th Eurographics Symposium on Parallel Graphics and Visualization, 2012

Towards real-time visualization of detailed neural tissue models: View frustum culling for parallel rendering.
Proceedings of the 2012 IEEE Symposium on Biological Data Visualization, 2012

Models of Neocortical Layer 5b Pyramidal Cells Capturing a Wide Range of Dendritic and Perisomatic Active Properties.
PLoS Comput. Biol., 2011

Effective Stimuli for Constructing Reliable Neuron Models.
PLoS Comput. Biol., 2011

Channelpedia: An Integrative and Interactive Database for Ion Channels.
Frontiers Neuroinformatics, 2011

Comparison of neuronal spike exchange methods on a Blue Gene/P supercomputer.
Frontiers Comput. Neurosci., 2011

A component-based extension framework for large-scale parallel simulations in NEURON.
Frontiers Neuroinformatics, 2009

Fully implicit parallel simulation of single neurons.
J. Comput. Neurosci., 2008

Neuron splitting in compute-bound parallel network simulations enables runtime scaling with twice as many processors.
J. Comput. Neurosci., 2008

Identifying, tabulating, and analyzing contacts between branched neuron morphologies.
IBM J. Res. Dev., 2008

The quantitative single-neuron modeling competition.
Biol. Cybern., 2008

Special issue on quantitative neuron modeling.
Biol. Cybern., 2008

Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate data.
Biol. Cybern., 2008

Keyword Based Indexing and Searching over Storage Resource Broker.
Proceedings of the On the Move to Meaningful Internet Systems 2007: CoopIS, 2007

Network-Related Challenges and Insights from Neuroscience.
Proceedings of the Bio-Inspired Computing and Communication, 2007

Exploring liquid computing in a hardware adaptation: construction and operation of a neural network experiment.
PhD thesis, 2005

Edge of Chaos Computation in Mixed-Mode VLSI - A Hard Liquid.
Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Speeding up Hardware Evolution: A Coprocessor for Evolutionary Algorithms.
Proceedings of the Evolvable Systems: From Biology to Hardware, 2003

Exploring The Parameter Space Of A Genetic Algorithm For Training An Analog Neural Network.
Proceedings of the GECCO 2002: Proceedings of the Genetic and Evolutionary Computation Conference, 2002

Towards an Artificial Neural Network Framework.
Proceedings of the 4th NASA / DoD Workshop on Evolvable Hardware (EH 2002), 2002

A VLSI Implementation of an Analog Neural Network Suited for Genetic Algorithms.
Proceedings of the Evolvable Systems: From Biology to Hardware, 2001