Markus Diesmann

According to our database, Markus Diesmann authored at least 94 papers between 1995 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Software in science is ubiquitous yet overlooked.

Alexandre Hocquet, Frédéric Wieber, Gabriele Gramelsberger, Konrad Hinsen, Markus Diesmann, Fernando Pasquini Santos, Catharina Landström, Benjamin Peters, Dawid Kasprowicz, Arianna Borrelli, Phillip Roth, Clarissa Ai Ling Lee, Alin Olteanu, Stefan Böschen

Nat. Comput. Sci., July, 2024

2023

Sequence learning in a spiking neuronal network with memristive synapses.

Younes Bouhadjar, Sebastian Siegel, Tom Tetzlaff, Markus Diesmann, Rainer Waser, Dirk J. Wouters

Neuromorph. Comput. Eng., September, 2023

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

James B. Aimone, Omar Awile, Markus Diesmann, James C. Knight, Thomas Nowotny, Felix Schürmann

Frontiers Neuroinformatics, March, 2023

Coherent noise enables probabilistic sequence replay in spiking neuronal networks.

Younes Bouhadjar, Dirk J. Wouters, Markus Diesmann, Tom Tetzlaff

PLoS Comput. Biol., 2023

2022

Connectivity concepts in neuronal network modeling.

Johanna Senk, Birgit Kriener, Mikael Djurfeldt, Nicole Voges, Han-Jia Jiang, Lisa Schüttler, Gabriele Gramelsberger, Markus Diesmann, Hans E. Plesser, Sacha J. van Albada

PLoS Comput. Biol., September, 2022

Sequence learning, prediction, and replay in networks of spiking neurons.

Younes Bouhadjar, Dirk J. Wouters, Markus Diesmann, Tom Tetzlaff

PLoS Comput. Biol., 2022

Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers.

Jari Pronold, Jakob Jordan, Brian J. N. Wylie, Itaru Kitayama, Markus Diesmann, Susanne Kunkel

Parallel Comput., 2022

Sub-realtime simulation of a neuronal network of natural density.

Anno Christopher Kurth, Johanna Senk, Dennis Terhorst, Justin Finnerty, Markus Diesmann

Neuromorph. Comput. Eng., 2022

A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations.

Jasper Albers, Jari Pronold, Anno Christopher Kurth, Stine Brekke Vennemo, Kaveh Haghighi Mood, Alexander Patronis, Dennis Terhorst, Jakob Jordan, Susanne Kunkel, Tom Tetzlaff, Markus Diesmann, Johanna Senk

Frontiers Neuroinformatics, 2022

Phenomenological modeling of diverse and heterogeneous synaptic dynamics at natural density.

Agnes Korcsak-Gorzo, Charl A. P. Linssen, Jasper Albers, Stefan Dasbach, Renato C. Duarte, Susanne Kunkel, Abigail Morrison, Johanna Senk, Jonas Stapmanns, Tom Tetzlaff, Markus Diesmann, Sacha J. van Albada

CoRR, 2022

2021

Event-Based Update of Synapses in Voltage-Based Learning Rules.

Jonas Stapmanns, Jan Hahne, Moritz Helias, Matthias Bolten, Markus Diesmann, David Dahmen

Frontiers Neuroinformatics, 2021

2020

Efficient Communication in Distributed Simulations of Spiking Neuronal Networks With Gap Junctions.

Jakob Jordan, Moritz Helias, Markus Diesmann, Susanne Kunkel

Frontiers Neuroinformatics, 2020

The speed of sequence processing in biological neuronal networks.

Younes Bouhadjar, Markus Diesmann, Dirk J. Wouters, Tom Tetzlaff

Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

2019

Constraints on sequence processing speed in biological neuronal networks.

Younes Bouhadjar, Markus Diesmann, Rainer Waser, Dirk J. Wouters, Tom Tetzlaff

Proceedings of the International Conference on Neuromorphic Systems, 2019

Usage and Scaling of an Open-Source Spiking Multi-Area Model of Monkey Cortex.

Sacha J. van Albada, Jari Pronold, Alexander van Meegen, Markus Diesmann

Proceedings of the Brain-Inspired Computing - 4th International Workshop, 2019

2018

A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas.

Maximilian Schmidt, Rembrandt Bakker, Kelly Shen, Gleb Bezgin, Markus Diesmann, Sacha Jennifer van Albada

PLoS Comput. Biol., 2018

VIOLA - A Multi-Purpose and Web-Based Visualization Tool for Neuronal-Network Simulation Output.

Johanna Senk, Corto Carde, Espen Hagen, Torsten W. Kuhlen, Markus Diesmann, Benjamin Weyers

Frontiers Neuroinformatics, 2018

Corrigendum: Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers.

Jakob Jordan, Tammo Ippen, Moritz Helias, Itaru Kitayama, Mitsuhisa Sato, Jun Igarashi, Markus Diesmann, Susanne Kunkel

Frontiers Neuroinformatics, 2018

Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers.

Jakob Jordan, Tammo Ippen, Moritz Helias, Itaru Kitayama, Mitsuhisa Sato, Jun Igarashi, Markus Diesmann, Susanne Kunkel

Frontiers Neuroinformatics, 2018

Criteria on Balance, Stability, and Excitability in Cortical Networks for Constraining Computational Models.

Andrei Maksimov, Markus Diesmann, Sacha J. van Albada

Frontiers Comput. Neurosci., 2018

International Neuroscience Initiatives through the Lens of High-Performance Computing.

Kristofer E. Bouchard, James B. Aimone, Miyoung Chun, Thomas Dean, Michael Denker, Markus Diesmann, David Donofrio, Loren M. Frank, Narayanan Kasthuri, Christof Koch, Oliver Rübel, Horst D. Simon, Friedrich T. Sommer, Prabhat

Computer, 2018

2017

Fundamental Activity Constraints Lead to Specific Interpretations of the Connectome.

Jannis Schuecker, Maximilian Schmidt, Sacha J. van Albada, Markus Diesmann, Moritz Helias

PLoS Comput. Biol., 2017

Perfect Detection of Spikes in the Linear Sub-threshold Dynamics of Point Neurons.

Jeyashree Krishnan, PierGianLuca Porta Mana, Moritz Helias, Markus Diesmann, Edoardo Di Napoli

Frontiers Neuroinformatics, 2017

Constructing Neuronal Network Models in Massively Parallel Environments.

Tammo Ippen, Jochen M. Eppler, Hans E. Plesser, Markus Diesmann

Frontiers Neuroinformatics, 2017

Integration of Continuous-Time Dynamics in a Spiking Neural Network Simulator.

Jan Hahne, David Dahmen, Jannis Schuecker, Andreas Frommer, Matthias Bolten, Moritz Helias, Markus Diesmann

Frontiers Neuroinformatics, 2017

2016

Identifying Anatomical Origins of Coexisting Oscillations in the Cortical Microcircuit.

Hannah Bos, Markus Diesmann, Moritz Helias

PLoS Comput. Biol., 2016

Dynamic effective connectivity in cortically embedded systems of recurrently coupled synfire chains.

Chris Trengove, Markus Diesmann, Cees van Leeuwen

J. Comput. Neurosci., 2016

A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC.

Johanna Senk, Alper Yegenoglu, Olivier Amblet, Yury Brukau, Andrew P. Davison, David Roland Lester, Anna Lührs, Pietro Quaglio, Vahid Rostami, Andrew Rowley, Bernd Schuller, Alan Barry Stokes, Sacha Jennifer van Albada, Daniel Zielasko, Markus Diesmann, Benjamin Weyers, Michael Denker, Sonja Grün

Proceedings of the High-Performance Scientific Computing, 2016

2015

Scalability of Asynchronous Networks Is Limited by One-to-One Mapping between Effective Connectivity and Correlations.

Sacha J. van Albada, Moritz Helias, Markus Diesmann

PLoS Comput. Biol., 2015

Python in neuroscience.

Eilif B. Müller, James A. Bednar, Markus Diesmann, Marc-Oliver Gewaltig, Michael L. Hines, Andrew P. Davison

Frontiers Neuroinformatics, 2015

A unified framework for spiking and gap-junction interactions in distributed neuronal network simulations.

Jan Hahne, Moritz Helias, Susanne Kunkel, Jun Igarashi, Matthias Bolten, Andreas Frommer, Markus Diesmann

Frontiers Neuroinformatics, 2015

Including Gap Junctions into Distributed Neuronal Network Simulations.

Jan Hahne, Moritz Helias, Susanne Kunkel, Jun Igarashi, Itaru Kitayama, Brian J. N. Wylie, Matthias Bolten, Andreas Frommer, Markus Diesmann

Proceedings of the Brain-Inspired Computing - Second International Workshop, 2015

2014

NEST: The Neural Simulation Tool.

Hans Ekkehard Plesser, Markus Diesmann, Marc-Oliver Gewaltig, Abigail Morrison

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Collations of Connectivity Data on the Macaque Brain (CoCoMac).

Rembrandt Bakker, Markus Diesmann

Proceedings of the Encyclopedia of Computational Neuroscience, 2014

The Correlation Structure of Local Neuronal Networks Intrinsically Results from Recurrent Dynamics.

Moritz Helias, Tom Tetzlaff, Markus Diesmann

PLoS Comput. Biol., 2014

Spiking network simulation code for petascale computers.

Susanne Kunkel, Maximilian Schmidt, Jochen Martin Eppler, Hans Ekkehard Plesser, Gen Masumoto, Jun Igarashi, Shin Ishii, Tomoki Fukai, Abigail Morrison, Markus Diesmann, Moritz Helias

Frontiers Neuroinformatics, 2014

2013

Noise Suppression and Surplus Synchrony by Coincidence Detection.

Matthias Schultze-Kraft, Markus Diesmann, Sonja Grün, Moritz Helias

PLoS Comput. Biol., 2013

High-capacity embedding of synfire chains in a cortical network model.

Chris Trengove, Cees van Leeuwen, Markus Diesmann

J. Comput. Neurosci., 2013

How pattern formation in ring networks of excitatory and inhibitory spiking neurons depends on the input current regime.

Birgit Kriener, Moritz Helias, Stefan Rotter, Markus Diesmann, Gaute T. Einevoll

Frontiers Comput. Neurosci., 2013

A unified view on weakly correlated recurrent networks.

Dmytro Grytskyy, Tom Tetzlaff, Markus Diesmann, Moritz Helias

Frontiers Comput. Neurosci., 2013

Compositionality in neural control: an interdisciplinary study of scribbling movements in primates.

Moshe Abeles, Markus Diesmann, Tamar Flash, Theo Geisel, Michael Hermann, Mina Teicher

Frontiers Comput. Neurosci., 2013

Integrating Brain Structure and Dynamics on Supercomputers.

Sacha J. van Albada, Susanne Kunkel, Abigail Morrison, Markus Diesmann

Proceedings of the Brain-Inspired Computing - International Workshop, 2013

2012

Decorrelation of Neural-Network Activity by Inhibitory Feedback.

Tom Tetzlaff, Moritz Helias, Gaute T. Einevoll, Markus Diesmann

PLoS Comput. Biol., 2012

Spike-Timing Dependence of Structural Plasticity Explains Cooperative Synapse Formation in the Neocortex.

Moritz Deger, Moritz Helias, Stefan Rotter, Markus Diesmann

PLoS Comput. Biol., 2012

Supercomputers Ready for Use as Discovery Machines for Neuroscience.

Moritz Helias, Susanne Kunkel, Gen Masumoto, Jun Igarashi, Jochen Martin Eppler, Shin Ishii, Tomoki Fukai, Abigail Morrison, Markus Diesmann

Frontiers Neuroinformatics, 2012

CoCoMac 2.0 and the future of tract-tracing databases.

Rembrandt Bakker, Thomas Wachtler, Markus Diesmann

Frontiers Neuroinformatics, 2012

2011

An Imperfect Dopaminergic Error Signal Can Drive Temporal-Difference Learning.

Wiebke Potjans, Markus Diesmann, Abigail Morrison

PLoS Comput. Biol., 2011

Multi-scale, multi-modal neural modeling and simulation.

Shin Ishii, Markus Diesmann, Kenji Doya

Neural Networks, 2011

Compositionality of arm movements can be realized by propagating synchrony.

Alexander Hanuschkin, J. Michael Herrmann, Abigail Morrison, Markus Diesmann

J. Comput. Neurosci., 2011

A reafferent and feed-forward model of song syntax generation in the Bengalese finch.

Alexander Hanuschkin, Markus Diesmann, Abigail Morrison

J. Comput. Neurosci., 2011

Meeting the Memory Challenges of Brain-Scale Network Simulation.

Susanne Kunkel, Tobias C. Potjans, Jochen M. Eppler, Hans Ekkehard Plesser, Abigail Morrison, Markus Diesmann

Frontiers Neuroinformatics, 2011

Layer-Dependent Attentional Processing by Top-down Signals in a Visual Cortical Microcircuit Model.

Nobuhiko Wagatsuma, Tobias C. Potjans, Markus Diesmann, Tomoki Fukai

Frontiers Comput. Neurosci., 2011

A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems.

Daniel Brüderle, Mihai A. Petrovici, Bernhard Vogginger, Matthias Ehrlich, Thomas Pfeil, Sebastian Millner, Andreas Grübl, Karsten Wendt, Eric Müller, Marc-Olivier Schwartz, Dan Husmann de Oliveira, Sebastian Jeltsch, Johannes Fieres, Moritz Schilling, Paul Müller, Oliver Breitwieser, Venelin Petkov, Lyle Muller, Andrew P. Davison, Pradeep Krishnamurthy, Jens Kremkow, Mikael Lundqvist, Eilif Mueller, Johannes Partzsch, Stefan Scholze, Lukas Zühl, Christian Mayr, Alain Destexhe, Markus Diesmann, Tobias C. Potjans, Anders Lansner, René Schüffny, Johannes Schemmel, Karlheinz Meier

Biol. Cybern., 2011

Towards the Visualization of Spiking Neurons in Virtual Reality.

Anette von Kapri, Tobias Rick, Tobias C. Potjans, Markus Diesmann, Torsten W. Kuhlen

Proceedings of the Medicine Meets Virtual Reality 18 - NextMed, 2011

2010

Instantaneous Non-Linear Processing by Pulse-Coupled Threshold Units.

Moritz Helias, Moritz Deger, Stefan Rotter, Markus Diesmann

PLoS Comput. Biol., 2010

Run-Time Interoperability Between Neuronal Network Simulators Based on the MUSIC Framework.

Mikael Djurfeldt, Johannes Hjorth, Jochen M. Eppler, Niraj Dudani, Moritz Helias, Tobias C. Potjans, Upinder S. Bhalla, Markus Diesmann, Jeanette Hellgren Kotaleski, Örjan Ekeberg

Neuroinformatics, 2010

Estimating the contribution of assembly activity to cortical dynamics from spike and population measures.

Michael Denker, Alexa Riehle, Markus Diesmann, Sonja Grün

J. Comput. Neurosci., 2010

A General and Efficient Method for Incorporating Precise Spike Times in Globally Time-Driven Simulations.

Alexander Hanuschkin, Susanne Kunkel, Moritz Helias, Abigail Morrison, Markus Diesmann

Frontiers Neuroinformatics, 2010

A Compositionality Machine Realized by a Hierarchic Architecture of Synfire Chains.

Sven Schrader, Markus Diesmann, Abigail Morrison

Frontiers Comput. Neurosci., 2010

Enabling Functional Neural Circuit Simulations with Distributed Computing of Neuromodulated Plasticity.

Wiebke Potjans, Abigail Morrison, Markus Diesmann

Frontiers Comput. Neurosci., 2010

Surrogate Spike Train Generation Through Dithering in Operational Time.

Sebastien Louis, George L. Gerstein, Sonja Grün, Markus Diesmann

Frontiers Comput. Neurosci., 2010

Limits to the Development of Feed-Forward Structures in Large Recurrent Neuronal Networks.

Susanne Kunkel, Markus Diesmann, Abigail Morrison

Frontiers Comput. Neurosci., 2010

2009

A Spiking Neural Network Model of an Actor-Critic Learning Agent.

Wiebke Potjans, Abigail Morrison, Markus Diesmann

Neural Comput., 2009

Simplicity and Efficiency of Integrate-and-Fire Neuron Models.

Hans Ekkehard Plesser, Markus Diesmann

Neural Comput., 2009

Equilibrium and response properties of the integrate-and-fire neuron in discrete time.

Moritz Helias, Moritz Deger, Markus Diesmann, Stefan Rotter

Frontiers Comput. Neurosci., 2009

2008

Dependence of Neuronal Correlations on Filter Characteristics and Marginal Spike Train Statistics.

Tom Tetzlaff, Stefan Rotter, Eran Stark, Moshe Abeles, Ad Aertsen, Markus Diesmann

Neural Comput., 2008

Correlations and Population Dynamics in Cortical Networks.

Birgit Kriener, Tom Tetzlaff, Ad Aertsen, Markus Diesmann, Stefan Rotter

Neural Comput., 2008

PyNEST: a convenient interface to the NEST simulator.

Jochen M. Eppler, Moritz Helias, Eilif B. Müller, Markus Diesmann, Marc-Oliver Gewaltig

Frontiers Neuroinformatics, 2008

Structural plasticity controlled by calcium based correlation detection.

Moritz Helias, Stefan Rotter, Marc-Oliver Gewaltig, Markus Diesmann

Frontiers Comput. Neurosci., 2008

Phenomenological models of synaptic plasticity based on spike timing.

Abigail Morrison, Markus Diesmann, Wulfram Gerstner

Biol. Cybern., 2008

2007

NEST (NEural Simulation Tool).

Marc-Oliver Gewaltig, Markus Diesmann

Scholarpedia, 2007

Exact Subthreshold Integration with Continuous Spike Times in Discrete-Time Neural Network Simulations.

Abigail Morrison, Sirko Straube, Hans Ekkehard Plesser, Markus Diesmann

Neural Comput., 2007

Spike-Timing-Dependent Plasticity in Balanced Random Networks.

Abigail Morrison, Ad Aertsen, Markus Diesmann

Neural Comput., 2007

Simulation of networks of spiking neurons: A review of tools and strategies.

Romain Brette, Michelle Rudolph, Ted Carnevale, Michael L. Hines, David Beeman, James M. Bower, Markus Diesmann, Abigail Morrison, Philip H. Goodman, Frederick C. Harris Jr., Milind Zirpe, Thomas Natschläger, Dejan Pecevski, Bard Ermentrout, Mikael Djurfeldt, Anders Lansner, Olivier Rochel, Thierry Viéville, Eilif Mueller, Andrew P. Davison, Sami El Boustani, Alain Destexhe

J. Comput. Neurosci., 2007

Multithreaded and Distributed Simulation of Large Biological Neuronal Networks.

Jochen M. Eppler, Hans E. Plesser, Abigail Morrison, Markus Diesmann, Marc-Oliver Gewaltig

Proceedings of the Recent Advances in Parallel Virtual Machine and Message Passing Interface, 14th European PVM/MPI User's Group Meeting, Paris, France, September 30, 2007

Impact of Higher-Order Correlations on Coincidence Distributions of Massively Parallel Data.

Sonja Grün, Moshe Abeles, Markus Diesmann

Proceedings of the Dynamic Brain, 2007

Efficient Parallel Simulation of Large-Scale Neuronal Networks on Clusters of Multiprocessor Computers.

Hans E. Plesser, Jochen M. Eppler, Abigail Morrison, Markus Diesmann, Marc-Oliver Gewaltig

Proceedings of the Euro-Par 2007, 2007

Bounds of the Ability to Destroy Precise Coincidences by Spike Dithering.

Antonio Pazienti, Markus Diesmann, Sonja Grün

Proceedings of the Advances in Brain, 2007

2006

A Bottom-up approach to Grid-Computing at a University: the Black-Forest-Grid Initiative.

Rolf Backofen, Hans-Gunther Borrmann, Werner Deck, Andreas Dedner, Luc De Raedt, Klaus Desch, Markus Diesmann, Martin Geier, Andreas Greiner, Wolfgang R. Hess, Josef Honerkamp, Stefan Jankowski, Ingo Krossing, Andreas W. Liehr, Andreas Karwath, Robert Klöfkorn, Raphaël Pesché, Tobias C. Potjans, Michael C. Röttger, Lars Schmidt-Thieme, Gerhard Schneider, Björn Voß, Bernd Wiebelt, Peter Wienemann, Volker-Henning Winterer

Prax. Inf.verarb. Kommun., 2006

Programmable Logic Construction Kits for Hyper-Real-Time Neuronal Modeling.

Ruben Guerrero-Rivera, Abigail Morrison, Markus Diesmann, Tim C. Pearce

Neural Comput., 2006

2005

Advancing the Boundaries of High-Connectivity Network Simulation with Distributed Computing.

Abigail Morrison, Carsten Mehring, Theo Geisel, Ad Aertsen, Markus Diesmann

Neural Comput., 2005

2004

Consequences of realistic network size on the stability of embedded synfire chains.

Tom Tetzlaff, Abigail Morrison, Theo Geisel, Markus Diesmann

Neurocomputing, 2004

2003

The spread of rate and correlation in stationary cortical networks.

Tom Tetzlaff, Michael Buschermöhle, Theo Geisel, Markus Diesmann

Neurocomputing, 2003

Significance of joint-spike events based on trial-shuffling by efficient combinatorial methods.

Gordon Pipa, Markus Diesmann, Sonja Grün

Complex., 2003

Activity dynamics and propagation of synchronous spiking in locally connected random networks.

Carsten Mehring, Ulrich Hehl, Masayoshi Kubo, Markus Diesmann, Ad Aertsen

Biol. Cybern., 2003

Effect of cross-trial nonstationarity on joint-spike events.

Sonja Grün, Alexa Riehle, Markus Diesmann

Biol. Cybern., 2003

2002

Unitary Events in Multiple Single-Neuron Spiking Activity: II. Nonstationary Data.

Sonja Grün, Markus Diesmann, Ad Aertsen

Neural Comput., 2002

Unitary Events in Multiple Single-Neuron Spiking Activity: I. Detection and Significance.

Sonja Grün, Markus Diesmann, Ad Aertsen

Neural Comput., 2002

The ground state of cortical feed-forward networks.

Tom Tetzlaff, Theo Geisel, Markus Diesmann

Neurocomputing, 2002

2001

Propagation of cortical synfire activity: survival probability in single trials and stability in the mean.

Marc-Oliver Gewaltig, Markus Diesmann, Ad Aertsen

Neural Networks, 2001

Cortical synfire-activity: Configuration space and survival probability.

Marc-Oliver Gewaltig, Markus Diesmann, Ad Aertsen

Neurocomputing, 2001

State space analysis of synchronous spiking in cortical neural networks.

Markus Diesmann, Marc-Oliver Gewaltig, Stefan Rotter, Ad Aertsen

Neurocomputing, 2001

1999

Exact digital simulation of time-invariant linear systems with applications to neuronal modeling.

Stefan Rotter, Markus Diesmann

Biol. Cybern., 1999

1995

Propagation of Synfire Activity in Cortical Networks: a Statistical Approach.

Marc-Oliver Gewaltig, Markus Diesmann, Ad Aertsen

Proceedings of the Neural Networks: Artificial Intelligence and Industrial Applications, 1995