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Parallel network simulations with NEURON

Publications associées (36)

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Predictive Engineering the Membrane Composition of Neocortical Neurons

Georges Khazen

The brain is the most mysterious and intricate biological structure known to man. It dominates the way we live, think, reason and behave. It is built of billions of neurons that communicate with each other through trillions of connections using electrical ...

EPFL2011

Comparison of neuronal spike exchange methods on a Blue Gene/P supercomputer

Michael Lee Hines, Sameer Kumar

For neural network simulations on parallel machines, Interprocessor spike communication can be a significant portion of the total simulation time. The performance of several spike exchange methods using a Blue Gene/P (BG/P) supercomputer has been tested wi ...

2011

Performance prediction and race detection in message-passing parallel applications

Basile Schäli

The combination of low cost clusters and multicore processors lowers the barrier for accessing massive amounts of computing power. As computational sciences advance, the use of in silico simulations to complement in vivo experiments promises parallel progr ...

EPFL2009

Collaborative coverage using a swarm of networked miniature robots

Alcherio Martinoli, Nicolaus Correll, Samuel Rutishauser

We study distributed coverage of environments with unknown extension using a team of networked miniature robots analytically and experimentally. Algorithms are analyzed by incrementally raising the abstraction level starting from physical robots, to realis ...

2009

Fully implicit parallel simulation of single neurons

Henry Markram, Felix Schürmann

When a multi-compartment neuron is divided into subtrees such that no subtree has more than two connection points to other subtrees, the subtrees can be on different processors and the entire system remains amenable to direct Gaussian elimination with only ...

2008

Simple Neuron Models and Adaptation

Skander Mensi

Predicting activity of single neuron is an important part of the computational neuroscience and a great challenge. Several mathematical models exist, from the simple (one compartment and few parameters, like the SRM or the IF-type models), to the more comp ...

2008

A simulator for adaptive parallel applications

Roger Hersch, Sebastian Gerlach

Dynamically allocating computing nodes to parallel applications is a promising technique for improving the utilization of cluster resources. Detailed simulations can help identify allocation strategies and problem decomposition parameters that increase the ...

2007

A simulator for parallel applications with dynamically varying compute node allocation

Roger Hersch, Sebastian Gerlach

Dynamically allocating computing nodes to parallel applications is a promising technique for improving the utilization of cluster resources. We introduce the concept of dynamic efficiency which expresses the resource utilization efficiency as a function of ...

2006

Simple models of distributed co-ordination

Frédéric Kaplan

Distributed co-ordination is the result of dynamical processes enabling independent agents to coordinate their actions without the need of a central co-ordinator. In the past few years, several computational models have illustrated the role played by such ...

Taylor & Francis2005

Integrating behavioural animation techniques

Daniel Thalmann, Jean-Sébastien Monzani

Our research focuses on animating autonomous virtual humans which are able to take decisions by themselves. We especially address in this paper the technical problem of integrating altogether the physical simulation of agents (represented as virtual humans ...

Blackwell Science Ltd2001