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Felix Schürmann

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Related publications (82)

Performance evaluation of the IBM POWER8 architecture to support computational neuroscientific application using morphologically detailed neurons

Felix Schürmann

A part of large-scale future supercomputing architectures will rely on a combination of IBM POWER9 and Nvidia GPU processors. In order to anticipate software design, implementation and optimization decisions and optimally prepare scientific applications ta ...

Association for Computing Machinery2015

Distributor of neurons in a neocortical column

Henry Markram, Felix Schürmann, Georges Khazen, Martin Telefont

Computer-implemented methods, software, and systems for determining a distribution of neuronal cells across a portion of a brain are described. One computer-implemented method for determining a target distribution of one or more neuronal cells across a por ...

2014

OCTOPUS: Efficient Query Execution on Dynamic Mesh Datasets

Henry Markram, Felix Schürmann, Anastasia Ailamaki, Farhan Tauheed, Thomas Heinis

Scientists in many disciplines use spatial mesh models to study physical phenomena. Simulating natural phenomena by changing meshes over time helps to understand and predict future behavior of the phenomena. The higher the precision of the mesh models, the ...

2014

Rebasing I/O for Scientific Computing: Leveraging Storage Class Memory in an IBM BlueGene/Q Supercomputer

Felix Schürmann, Alessandro Curioni, Fabien Jonathan Delalondre, John Anthony Biddiscombe, Miguel Angel Gila Arrondo, Davide Tacchella, Peter Morjan, Robert Germain, Blake Fitch, Pramod Shivaji Kumbhar, Bernard Metzler, Lars Schneidenbach

Storage class memory is receiving increasing attention for use in HPC systems for the acceleration of intensive IO operations. We report a particular instance using SLC FLASH memory integrated with an IBM BlueGene/Q supercomputer at scale (Blue Gene Active ...

Springer2014

Preserving axosomatic spiking features despite diverse dendritic morphology

Henry Markram, Felix Schürmann, Idan Segev

Throughout the nervous system, cells belonging to a certain electrical class (e-class)-sharing high similarity in firing response properties-may nevertheless have widely variable dendritic morphologies. To quantify the effect of this morphological variabil ...

American Physiological Society2013

A Hierarchical Structure of Cortical Interneuron Electrical Diversity Revealed by Automated Statistical Analysis

Henry Markram, Felix Schürmann, Sean Lewis Hill, Idan Segev

Although the diversity of cortical interneuron electrical properties is well recognized, the number of distinct electrical types (e-types) is still a matter of debate. Recently, descriptions of interneuron variability were standardized by multiple laborato ...

Oxford University Press2013

Intrinsic morphological diversity of thick-tufted layer 5 pyramidal neurons ensures robust and invariant properties of in silico synaptic connections

Henry Markram, Felix Schürmann, Srikanth Ramaswamy, Yun Wang

The morphology of neocortical pyramidal neurons is not only highly characteristic but also displays an intrinsic diversity that renders each neuron morphologically unique. We investigated the significance of this intrinsic morphological diversity in in sil ...

2012

SCOUT: Prefetching for Latent Structure Following Queries

Henry Markram, Felix Schürmann, Anastasia Ailamaki, Farhan Tauheed, Thomas Heinis

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 simulate them. Managing and analyzing the massive amounts of data involved in simu ...

2012

Accelerating Range Queries For Brain Simulations

Henry Markram, Felix Schürmann, Anastasia Ailamaki, Farhan Tauheed, Thomas Heinis, Laurynas Biveinis

Neuroscientists increasingly use computational tools to build and simulate models of the brain. The amounts of data involved in these simulations are immense and the importance of their efficient management is primordial. One particular problem in analyzin ...

2012

A neuron membrane mesh representation for visualization of electrophysiological simulations

Henry Markram, Sébastien Lasserre, Felix Schürmann, Sean Lewis Hill, Juan Bautista Hernando Vieites

We present a process to automatically generate three-dimensional mesh representations of the complex, arborized cell membrane surface of cortical neurons (the principal information processing cells of the brain) from nonuniform morphological measurements. ...

Institute of Electrical and Electronics Engineers2012

Combinatorial expression rules of ion channel genes in juvenile rat (Rattus norvegicus) neocortical neurons

Henry Markram, Felix Schürmann, Georges Khazen

The electrical diversity of neurons arises from the expression of different combinations of ion channels. The gene expression rules governing these combinations are not known. We examined the expression of twenty-six ion channel genes in a broad range of s ...

Public Library of Science2012

Towards real-time visualization of detailed neural tissue models: View frustum culling for parallel rendering

Felix Schürmann, Juan Bautista Hernando Vieites

Recent efforts to model neural tissue in great anatomical detail play an important role in the shift towards simulation-based brain research. Visualization of those detailed models is an important part of the scientific workflow, allowing domain scientists ...

IEEE2012

Statistical connectivity provides a sufficient foundation for specific functional connectivity in neocortical neural microcircuits

Henry Markram, Imad Riachi, Felix Schürmann, Yun Wang

It is well-established that synapse formation involves highly selective chemospecific mechanisms, but how neuron arbors are positioned before synapse formation remains unclear. Using 3D reconstructions of 298 neocortical cells of different types (including ...

Natl Acad Sciences2012

Models of neocortical layer 5b pyramidal cells capturing a wide range of dendritic and perisomatic active properties

Henry Markram, Felix Schürmann, Sean Lewis Hill, Idan Segev

The thick-tufted layer 5b pyramidal cell extends its dendritic tree to all six layers of the mammalian neocortex and serves as a major building block for the cortical column. L5b pyramidal cells have been the subject of extensive experimental and modeling ...

2011

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

Sameer Kumar, Felix Schürmann, Michael Lee Hines

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

Effective Stimuli for Constructing Reliable Neuron Models

Henry Markram, Thomas Berger, Felix Schürmann, Sean Lewis Hill, Idan Segev

The rich dynamical nature of neurons poses major conceptual and technical challenges for unraveling their nonlinear membrane properties. Traditionally, various current waveforms have been injected at the soma to probe neuron dynamics, but the rationale for ...

2011

A Component-Based Extension Framework for Large-Scale Parallel Simulations in NEURON

Henry Markram, Felix Schürmann, Michael Lee Hines, Sean Lewis Hill

As neuronal simulations approach larger scales with increasing levels of detail, the neurosimulator software represents only a part of a chain of tools ranging from setup, simulation, interaction with virtual environments to analysis and visualizations. Pr ...

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

The quantitative single-neuron modeling competition

Wulfram Gerstner, Renaud Jolivet, Thomas Berger, Felix Schürmann, Richard Naud

As large-scale, detailed network modeling projects are flourishing in the field of computational neuroscience, it is more and more important to design single neuron models that not only capture qualitative features of real neurons but are quantitatively ac ...

Springer Verlag2008

Evaluating automated parameter constraining procedures of neuron models by experimental and surrogate data

Henry Markram, Thomas Berger, Felix Schürmann, Sean Lewis Hill, Idan Segev

Neuron models, in particular conductance-based compartmental models, often have numerous parameters that cannot be directly determined experimentally and must be constrained by an optimization procedure. A common practice in evaluating the utility of such ...

2008

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