activity
20122020
most citedBluePyOpt: Leveraging open source software and cloud infrastructure to optimise model parameters in neuroscience

215 citations · 444 across the 8 of their papers we have counts for

collaborators

10 papers

cs.DC2020★ 1 cited

Efficient Distributed Transposition Of Large-Scale Multigraphs And High-Cardinality Sparse Matrices

Bruno Magalhaes, Felix Schürmann

Graph-based representations underlie a wide range of scientific problems. Graph connectivity is typically represented as a sparse matrix in the Compressed Sparse Row format. Large-…

cs.DC2019

Fully-Asynchronous Fully-Implicit Variable-Order Variable-Timestep Simulation of Neural Networks

Bruno Magalhães, Michael Hines, Thomas Sterling +1

State-of-the-art simulations of detailed neural models follow the Bulk Synchronous Parallel execution model. Execution is divided in equidistant communication intervals, equivalent…

q-bio.NC2019★ 214 cited

The scientific case for brain simulations

Gaute T. Einevoll, Alain Destexhe, Markus Diesmann +7

A key element of the European Union's Human Brain Project (HBP) and other large-scale brain research projects is simulation of large-scale model networks of neurons. Here we argue…

cs.MS2019

An optimizing multi-platform source-to-source compiler framework for the NEURON MODeling Language

Pramod Kumbhar, Omar Awile, Liam Keegan +4

Domain-specific languages (DSLs) play an increasingly important role in the generation of high performing software. They allow the user to exploit specific knowledge encoded in the…

q-bio.NC2019

CoreNEURON : An Optimized Compute Engine for the NEURON Simulator

Pramod Kumbhar, Michael Hines, Jeremy Fouriaux +4

The NEURON simulator has been developed over the past three decades and is widely used by neuroscientists to model the electrical activity of neuronal networks. Large network simul…

cs.PF2019★ 7 cited

Analytic Performance Modeling and Analysis of Detailed Neuron Simulations

Francesco Cremonesi, Georg Hager, Gerhard Wellein +1

Big science initiatives are trying to reconstruct and model the brain by attempting to simulate brain tissue at larger scales and with increasingly more biological detail than prev…

cs.GR2017

From Big Data to Big Displays: High-Performance Visualization at Blue Brain

Stefan Eilemann, Marwan Abdellah, Nicolas Antille +9

Blue Brain has pushed high-performance visualization (HPV) to complement its HPC strategy since its inception in 2007. In 2011, this strategy has been accelerated to develop innova…

cs.GR2017★ 2 cited

A Physically Plausible Model for Rendering Highly Scattering Fluorescent Participating Media

Marwan Abdellah, Ahmet Bilgili, Stefan Eilemann +2

We present a novel extension of the path tracing algorithm that is capable of treating highly scattering participating media in the presence of fluorescent structures. The extensio…

q-bio.NC2016★ 215 cited

BluePyOpt: Leveraging open source software and cloud infrastructure to optimise model parameters in neuroscience

Werner Van Geit, Michael Gevaert, Giuseppe Chindemi +6

At many scales in neuroscience, appropriate mathematical models take the form of complex dynamical systems. Parametrising such models to conform to the multitude of available exper…

cs.DB2012★ 5 cited

SCOUT: Prefetching for Latent Feature Following Queries

Farhan Tauheed, Thomas Heinis, Felix Shürmann +2

Today's scientists are quickly moving from in vitro to in silico experimentation: they no longer analyze natural phenomena in a petri dish, but instead they build models and simula…