Markus Diesmann

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 31

Top Topics

Computational Neuroscience

Biologically Inspired

Top Venues

Frontiers Neuroinformatics

PLoS Comput. Biol.

Publications

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
Software in science is ubiquitous yet overlooked. Nat. Comput. Sci. 4 (7) (2024)
Younes Bouhadjar, Dirk J. Wouters, Markus Diesmann, Tom Tetzlaff
Coherent noise enables probabilistic sequence replay in spiking neuronal networks. PLoS Comput. Biol. 19 (5) (2023)
James B. Aimone, Omar Awile, Markus Diesmann, James C. Knight, Thomas Nowotny, Felix Schürmann
Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute. Frontiers Neuroinformatics 17 (2023)
Younes Bouhadjar, Sebastian Siegel, Tom Tetzlaff, Markus Diesmann, Rainer Waser, Dirk J. Wouters
Sequence learning in a spiking neuronal network with memristive synapses. Neuromorph. Comput. Eng. 3 (3) (2023)
Johanna Senk, Birgit Kriener, Mikael Djurfeldt, Nicole Voges, Han-Jia Jiang, Lisa Schüttler, Gabriele Gramelsberger, Markus Diesmann, Hans E. Plesser, Sacha J. van Albada
Connectivity concepts in neuronal network modeling. PLoS Comput. Biol. 18 (9) (2022)
Younes Bouhadjar, Sebastian Siegel, Tom Tetzlaff, Markus Diesmann, Rainer Waser, Dirk J. Wouters
Sequence learning in a spiking neuronal network with memristive synapses. CoRR (2022)
Jari Pronold, Jakob Jordan, Brian J. N. Wylie, Itaru Kitayama, Markus Diesmann, Susanne Kunkel
Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers. Parallel Comput. 113 (2022)
Agnes Korcsak-Gorzo, Charl Linssen, Jasper Albers, Stefan Dasbach, Renato C. Duarte, Susanne Kunkel, Abigail Morrison, Johanna Senk, Jonas Stapmanns, Tom Tetzlaff, Markus Diesmann, Sacha J. van Albada
Phenomenological modeling of diverse and heterogeneous synaptic dynamics at natural density. CoRR (2022)
Anno C. Kurth, Johanna Senk, Dennis Terhorst, Justin Finnerty, Markus Diesmann
Sub-realtime simulation of a neuronal network of natural density. Neuromorph. Comput. Eng. 2 (2) (2022)
Younes Bouhadjar, Dirk J. Wouters, Markus Diesmann, Tom Tetzlaff
Sequence learning, prediction, and replay in networks of spiking neurons. PLoS Comput. Biol. 18 (6) (2022)
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
A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations. Frontiers Neuroinformatics 16 (2022)
Jari Pronold, Jakob Jordan, Brian J. N. Wylie, Itaru Kitayama, Markus Diesmann, Susanne Kunkel
Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers. CoRR (2021)
Anno C. Kurth, Johanna Senk, Dennis Terhorst, Justin Finnerty, Markus Diesmann
Sub-realtime simulation of a neuronal network of natural density. CoRR (2021)
Jonas Stapmanns, Jan Hahne, Moritz Helias, Matthias Bolten, Markus Diesmann, David Dahmen
Event-Based Update of Synapses in Voltage-Based Learning Rules. Frontiers Neuroinformatics 15 (2021)
Jakob Jordan, Moritz Helias, Markus Diesmann, Susanne Kunkel
Efficient Communication in Distributed Simulations of Spiking Neuronal Networks With Gap Junctions. Frontiers Neuroinformatics 14 (2020)
Younes Bouhadjar, Markus Diesmann, Dirk J. Wouters, Tom Tetzlaff
The speed of sequence processing in biological neuronal networks. NICE (2020)
Younes Bouhadjar, Markus Diesmann, Rainer Waser, Dirk J. Wouters, Tom Tetzlaff
Constraints on sequence processing speed in biological neuronal networks. ICONS (2019)
Sacha J. van Albada, Jari Pronold, Alexander van Meegen, Markus Diesmann
Usage and Scaling of an Open-Source Spiking Multi-Area Model of Monkey Cortex. BrainComp (2019)
Andrei Maksimov, Markus Diesmann, Sacha J. van Albada
Criteria on Balance, Stability, and Excitability in Cortical Networks for Constraining Computational Models. Frontiers Comput. Neurosci. 12 (2018)
Jakob Jordan, Tammo Ippen, Moritz Helias, Itaru Kitayama, Mitsuhisa Sato, Jun Igarashi, Markus Diesmann, Susanne Kunkel
Corrigendum: Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers. Frontiers Neuroinformatics 12 (2018)
Johanna Senk, Corto Carde, Espen Hagen, Torsten W. Kuhlen, Markus Diesmann, Benjamin Weyers
VIOLA - A Multi-Purpose and Web-Based Visualization Tool for Neuronal-Network Simulation Output. Frontiers Neuroinformatics 12 (2018)
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
International Neuroscience Initiatives through the Lens of High-Performance Computing. Computer 51 (4) (2018)
Jakob Jordan, Tammo Ippen, Moritz Helias, Itaru Kitayama, Mitsuhisa Sato, Jun Igarashi, Markus Diesmann, Susanne Kunkel
Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers. Frontiers Neuroinformatics 12 (2018)
Maximilian Schmidt, Rembrandt Bakker, Kelly Shen, Gleb Bezgin, Markus Diesmann, Sacha Jennifer van Albada
A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas. PLoS Comput. Biol. 14 (10) (2018)
Tammo Ippen, Jochen M. Eppler, Hans E. Plesser, Markus Diesmann
Constructing Neuronal Network Models in Massively Parallel Environments. Frontiers Neuroinformatics 11 (2017)
Jan Hahne, David Dahmen, Jannis Schuecker, Andreas Frommer, Matthias Bolten, Moritz Helias, Markus Diesmann
Integration of Continuous-Time Dynamics in a Spiking Neural Network Simulator. Frontiers Neuroinformatics 11 (2017)
Jeyashree Krishnan, PierGianLuca Porta Mana, Moritz Helias, Markus Diesmann, Edoardo Di Napoli
Perfect Detection of Spikes in the Linear Sub-threshold Dynamics of Point Neurons. Frontiers Neuroinformatics 11 (2017)
Jannis Schuecker, Maximilian Schmidt, Sacha J. van Albada, Markus Diesmann, Moritz Helias
Fundamental Activity Constraints Lead to Specific Interpretations of the Connectome. PLoS Comput. Biol. 13 (2) (2017)
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
A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC. JHPCS (2016)
Hannah Bos, Markus Diesmann, Moritz Helias
Identifying Anatomical Origins of Coexisting Oscillations in the Cortical Microcircuit. PLoS Comput. Biol. 12 (10) (2016)
Chris Trengove, Markus Diesmann, Cees van Leeuwen
Dynamic effective connectivity in cortically embedded systems of recurrently coupled synfire chains. J. Comput. Neurosci. 40 (1) (2016)
Sacha J. van Albada, Moritz Helias, Markus Diesmann
Scalability of Asynchronous Networks Is Limited by One-to-One Mapping between Effective Connectivity and Correlations. PLoS Comput. Biol. 11 (9) (2015)
Jan Hahne, Moritz Helias, Susanne Kunkel, Jun Igarashi, Itaru Kitayama, Brian J. N. Wylie, Matthias Bolten, Andreas Frommer, Markus Diesmann
Including Gap Junctions into Distributed Neuronal Network Simulations. BrainComp (2015)
Susanne Kunkel, Maximilian Schmidt, Jochen Martin Eppler, Hans Ekkehard Plesser, Gen Masumoto, Jun Igarashi, Shin Ishii, Tomoki Fukai, Abigail Morrison, Markus Diesmann, Moritz Helias
Spiking network simulation code for petascale computers. Frontiers Neuroinformatics 8 (2014)
Jan Hahne, Moritz Helias, Susanne Kunkel, Jun Igarashi, Matthias Bolten, Andreas Frommer, Markus Diesmann
A unified framework for spiking and gap-junction interactions in distributed neuronal network simulations. Frontiers Neuroinformatics 9 (2014)
Moritz Helias, Tom Tetzlaff, Markus Diesmann
The Correlation Structure of Local Neuronal Networks Intrinsically Results from Recurrent Dynamics. PLoS Comput. Biol. 10 (1) (2014)
Eilif B. Müller, James A. Bednar, Markus Diesmann, Marc-Oliver Gewaltig, Michael L. Hines, Andrew P. Davison
Python in neuroscience. Frontiers Neuroinformatics 9 (2014)
Moshe Abeles, Markus Diesmann, Tamar Flash, Theo Geisel, Michael Hermann, Mina Teicher
Compositionality in neural control: an interdisciplinary study of scribbling movements in primates. Frontiers Comput. Neurosci. 7 (2013)
Birgit Kriener, Moritz Helias, Stefan Rotter, Markus Diesmann, Gaute T. Einevoll
How pattern formation in ring networks of excitatory and inhibitory spiking neurons depends on the input current regime. Frontiers Comput. Neurosci. 7 (2013)
Sacha J. van Albada, Susanne Kunkel, Abigail Morrison, Markus Diesmann
Integrating Brain Structure and Dynamics on Supercomputers. BrainComp (2013)
Matthias Schultze-Kraft, Markus Diesmann, Sonja Grün, Moritz Helias
Noise Suppression and Surplus Synchrony by Coincidence Detection. PLoS Comput. Biol. 9 (4) (2013)
Chris Trengove, Cees van Leeuwen, Markus Diesmann
High-capacity embedding of synfire chains in a cortical network model. J. Comput. Neurosci. 34 (2) (2013)
Dmytro Grytskyy, Tom Tetzlaff, Markus Diesmann, Moritz Helias
A unified view on weakly correlated recurrent networks. Frontiers Comput. Neurosci. 7 (2013)
Moritz Helias, Susanne Kunkel, Gen Masumoto, Jun Igarashi, Jochen Martin Eppler, Shin Ishii, Tomoki Fukai, Abigail Morrison, Markus Diesmann
Supercomputers Ready for Use as Discovery Machines for Neuroscience. Frontiers Neuroinformatics 6 (2012)
Tom Tetzlaff, Moritz Helias, Gaute T. Einevoll, Markus Diesmann
Decorrelation of Neural-Network Activity by Inhibitory Feedback. PLoS Comput. Biol. 8 (8) (2012)
Moritz Deger, Moritz Helias, Stefan Rotter, Markus Diesmann
Spike-Timing Dependence of Structural Plasticity Explains Cooperative Synapse Formation in the Neocortex. PLoS Comput. Biol. 8 (9) (2012)
Rembrandt Bakker, Thomas Wachtler, Markus Diesmann
CoCoMac 2.0 and the future of tract-tracing databases. Frontiers Neuroinformatics 6 (2012)
Alexander Hanuschkin, Markus Diesmann, Abigail Morrison
A reafferent and feed-forward model of song syntax generation in the Bengalese finch. J. Comput. Neurosci. 31 (3) (2011)
Wiebke Potjans, Markus Diesmann, Abigail Morrison
An Imperfect Dopaminergic Error Signal Can Drive Temporal-Difference Learning. PLoS Comput. Biol. 7 (5) (2011)
Anette von Kapri, Tobias Rick, Tobias C. Potjans, Markus Diesmann, Torsten W. Kuhlen
Towards the Visualization of Spiking Neurons in Virtual Reality. MMVR (2011)
Shin Ishii, Markus Diesmann, Kenji Doya
Multi-scale, multi-modal neural modeling and simulation. Neural Networks 24 (9) (2011)
Alexander Hanuschkin, J. Michael Herrmann, Abigail Morrison, Markus Diesmann
Compositionality of arm movements can be realized by propagating synchrony. J. Comput. Neurosci. 30 (3) (2011)
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
A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems. Biol. Cybern. 104 (4-5) (2011)
Susanne Kunkel, Tobias C. Potjans, Jochen M. Eppler, Hans Ekkehard Plesser, Abigail Morrison, Markus Diesmann
Meeting the Memory Challenges of Brain-Scale Network Simulation. Frontiers Neuroinformatics 5 (2011)
Nobuhiko Wagatsuma, Tobias C. Potjans, Markus Diesmann, Tomoki Fukai
Layer-Dependent Attentional Processing by Top-down Signals in a Visual Cortical Microcircuit Model. Frontiers Comput. Neurosci. 5 (2011)
Sebastien Louis, George L. Gerstein, Sonja Grün, Markus Diesmann
Surrogate Spike Train Generation Through Dithering in Operational Time. Frontiers Comput. Neurosci. 4 (2010)
Wiebke Potjans, Abigail Morrison, Markus Diesmann
Enabling Functional Neural Circuit Simulations with Distributed Computing of Neuromodulated Plasticity. Frontiers Comput. Neurosci. 4 (2010)
Michael Denker, Alexa Riehle, Markus Diesmann, Sonja Grün
Estimating the contribution of assembly activity to cortical dynamics from spike and population measures. J. Comput. Neurosci. 29 (3) (2010)
Sven Schrader, Markus Diesmann, Abigail Morrison
A Compositionality Machine Realized by a Hierarchic Architecture of Synfire Chains. Frontiers Comput. Neurosci. 4 (2010)
Alexander Hanuschkin, Susanne Kunkel, Moritz Helias, Abigail Morrison, Markus Diesmann
A General and Efficient Method for Incorporating Precise Spike Times in Globally Time-Driven Simulations. Frontiers Neuroinformatics 4 (2010)
Susanne Kunkel, Markus Diesmann, Abigail Morrison
Limits to the Development of Feed-Forward Structures in Large Recurrent Neuronal Networks. Frontiers Comput. Neurosci. 4 (2010)
Moritz Helias, Moritz Deger, Stefan Rotter, Markus Diesmann
Instantaneous Non-Linear Processing by Pulse-Coupled Threshold Units. PLoS Comput. Biol. 6 (9) (2010)
Mikael Djurfeldt, Johannes Hjorth, Jochen M. Eppler, Niraj Dudani, Moritz Helias, Tobias C. Potjans, Upinder S. Bhalla, Markus Diesmann, Jeanette Hellgren Kotaleski, Örjan Ekeberg
Run-Time Interoperability Between Neuronal Network Simulators Based on the MUSIC Framework. Neuroinformatics 8 (1) (2010)
Wiebke Potjans, Abigail Morrison, Markus Diesmann
A Spiking Neural Network Model of an Actor-Critic Learning Agent. Neural Comput. 21 (2) (2009)
Moritz Helias, Moritz Deger, Markus Diesmann, Stefan Rotter
Equilibrium and response properties of the integrate-and-fire neuron in discrete time. Frontiers Comput. Neurosci. 3 (2009)
Hans Ekkehard Plesser, Markus Diesmann
Simplicity and Efficiency of Integrate-and-Fire Neuron Models. Neural Comput. 21 (2) (2009)
Moritz Helias, Stefan Rotter, Marc-Oliver Gewaltig, Markus Diesmann
Structural plasticity controlled by calcium based correlation detection. Frontiers Comput. Neurosci. 2 (2008)
Tom Tetzlaff, Stefan Rotter, Eran Stark, Moshe Abeles, Ad Aertsen, Markus Diesmann
Dependence of Neuronal Correlations on Filter Characteristics and Marginal Spike Train Statistics. Neural Comput. 20 (9) (2008)
Jochen M. Eppler, Moritz Helias, Eilif B. Müller, Markus Diesmann, Marc-Oliver Gewaltig
PyNEST: a convenient interface to the NEST simulator. Frontiers Neuroinformatics 2 (2008)
Birgit Kriener, Tom Tetzlaff, Ad Aertsen, Markus Diesmann, Stefan Rotter
Correlations and Population Dynamics in Cortical Networks. Neural Comput. 20 (9) (2008)
Abigail Morrison, Markus Diesmann, Wulfram Gerstner
Phenomenological models of synaptic plasticity based on spike timing. Biol. Cybern. 98 (6) (2008)
Marc-Oliver Gewaltig, Markus Diesmann
NEST (NEural Simulation Tool). Scholarpedia 2 (4) (2007)
Abigail Morrison, Ad Aertsen, Markus Diesmann
Spike-Timing-Dependent Plasticity in Balanced Random Networks. Neural Comput. 19 (6) (2007)
Hans E. Plesser, Jochen M. Eppler, Abigail Morrison, Markus Diesmann, Marc-Oliver Gewaltig
Efficient Parallel Simulation of Large-Scale Neuronal Networks on Clusters of Multiprocessor Computers. Euro-Par (2007)
Sonja Grün, Moshe Abeles, Markus Diesmann
Impact of Higher-Order Correlations on Coincidence Distributions of Massively Parallel Data. Summer School on Neural Networks (2007)
Antonio Pazienti, Markus Diesmann, Sonja Grün
Bounds of the Ability to Destroy Precise Coincidences by Spike Dithering. BVAI (2007)
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
Simulation of networks of spiking neurons: A review of tools and strategies. J. Comput. Neurosci. 23 (3) (2007)
Jochen M. Eppler, Hans E. Plesser, Abigail Morrison, Markus Diesmann, Marc-Oliver Gewaltig
Multithreaded and Distributed Simulation of Large Biological Neuronal Networks. PVM/MPI (2007)
Abigail Morrison, Sirko Straube, Hans Ekkehard Plesser, Markus Diesmann
Exact Subthreshold Integration with Continuous Spike Times in Discrete-Time Neural Network Simulations. Neural Comput. 19 (1) (2007)
Ruben Guerrero-Rivera, Abigail Morrison, Markus Diesmann, Tim C. Pearce
Programmable Logic Construction Kits for Hyper-Real-Time Neuronal Modeling. Neural Comput. 18 (11) (2006)
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
A Bottom-up approach to Grid-Computing at a University: the Black-Forest-Grid Initiative. Prax. Inf.verarb. Kommun. 29 (2) (2006)
Abigail Morrison, Carsten Mehring, Theo Geisel, Ad Aertsen, Markus Diesmann
Advancing the Boundaries of High-Connectivity Network Simulation with Distributed Computing. Neural Comput. 17 (8) (2005)
Tom Tetzlaff, Abigail Morrison, Theo Geisel, Markus Diesmann
Consequences of realistic network size on the stability of embedded synfire chains. Neurocomputing (2004)
Tom Tetzlaff, Michael Buschermöhle, Theo Geisel, Markus Diesmann
The spread of rate and correlation in stationary cortical networks. Neurocomputing (2003)
Gordon Pipa, Markus Diesmann, Sonja Grün
Significance of joint-spike events based on trial-shuffling by efficient combinatorial methods. Complex. 8 (4) (2003)
Sonja Grün, Alexa Riehle, Markus Diesmann
Effect of cross-trial nonstationarity on joint-spike events. Biol. Cybern. 88 (5) (2003)
Carsten Mehring, Ulrich Hehl, Masayoshi Kubo, Markus Diesmann, Ad Aertsen
Activity dynamics and propagation of synchronous spiking in locally connected random networks. Biol. Cybern. 88 (5) (2003)
Sonja Grün, Markus Diesmann, Ad Aertsen
Unitary Events in Multiple Single-Neuron Spiking Activity: II. Nonstationary Data. Neural Comput. 14 (1) (2002)
Sonja Grün, Markus Diesmann, Ad Aertsen
Unitary Events in Multiple Single-Neuron Spiking Activity: I. Detection and Significance. Neural Comput. 14 (1) (2002)
Tom Tetzlaff, Theo Geisel, Markus Diesmann
The ground state of cortical feed-forward networks. Neurocomputing (2002)
Markus Diesmann, Marc-Oliver Gewaltig, Stefan Rotter, Ad Aertsen
State space analysis of synchronous spiking in cortical neural networks. Neurocomputing (2001)
Marc-Oliver Gewaltig, Markus Diesmann, Ad Aertsen
Propagation of cortical synfire activity: survival probability in single trials and stability in the mean. Neural Networks 14 (6-7) (2001)
Marc-Oliver Gewaltig, Markus Diesmann, Ad Aertsen
Cortical synfire-activity: Configuration space and survival probability. Neurocomputing (2001)
Stefan Rotter, Markus Diesmann
Exact digital simulation of time-invariant linear systems with applications to neuronal modeling. Biol. Cybern. 81 (5-6) (1999)
Marc-Oliver Gewaltig, Markus Diesmann, Ad Aertsen
Propagation of Synfire Activity in Cortical Networks: a Statistical Approach. SNN Symposium on Neural Networks (1995)