Markus Diesmann

103 papers Journal 88Unranked 13

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Exploiting network topology in brain-scale simulations of spiking neural networks. CoRR Melissa Lober, Markus Diesmann, Susanne Kunkel
2025	J	`jnl`	Constructive community race: full-density spiking neural network model drives neuromorphic computing. CoRR Johanna Senk, Anno Christopher Kurth, Steve B. Furber, Tobias Gemmeke, Bruno Golosio, Arne Heittmann, James C. Knight, Eric Müller, Tobias Noll, Thomas Nowotny, Gorka Peraza Coppola, Luca Peres, Oliver Rhodes, Andrew Rowley, Johannes Schemmel, Tim Stadtmann, Tom Tetzlaff, Gianmarco Tiddia, Sacha J. van Albada, Jose Villamar, Markus Diesmann
2025	J	`jnl`	Event-driven eligibility propagation in large sparse networks: efficiency shaped by biological realism. CoRR Agnes Korcsak-Gorzo, Jesús A. Espinoza Valverde, Jonas Stapmanns, Hans Ekkehard Plesser, David Dahmen, Matthias Bolten, Sacha J. van Albada, Markus Diesmann
2025	J	`jnl`	Modeling neuron-astrocyte interactions in neural networks using distributed simulation. PLoS Comput. Biol. Han-Jia Jiang, Jugoslava Acimovic, Tiina Manninen, Iiro Ahokainen, Jonas Stapmanns, Mikko Lehtimäki, Markus Diesmann, Sacha J. van Albada, Hans Ekkehard Plesser, Marja-Leena Linne
2025	J	`jnl`	Scalable Construction of Spiking Neural Networks using up to thousands of GPUs. CoRR Bruno Golosio, Gianmarco Tiddia, Jose Villamar, Luca Pontisso, Luca Sergi, Francesco Simula, Pooja N. Babu, Elena Pastorelli, Abigail Morrison, Markus Diesmann, Alessandro Lonardo, Pier Stanislao Paolucci, Johanna Senk
2025	—	`conf`	Unsupervised online learning of complex sequences in spiking neuronal networks. ICONS Younes Bouhadjar, Melissa Lober, Emre Neftci, Markus Diesmann, Tom Tetzlaff
2024	J	`jnl`	Software in science is ubiquitous yet overlooked. Nat. Comput. Sci. 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
2023	J	`jnl`	Coherent noise enables probabilistic sequence replay in spiking neuronal networks. PLoS Comput. Biol. Younes Bouhadjar, Dirk J. Wouters, Markus Diesmann, Tom Tetzlaff
2023	J	`jnl`	Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute. Frontiers Neuroinformatics James B. Aimone, Omar Awile, Markus Diesmann, James C. Knight, Thomas Nowotny, Felix Schürmann
2023	J	`jnl`	Sequence learning in a spiking neuronal network with memristive synapses. Neuromorph. Comput. Eng. Younes Bouhadjar, Sebastian Siegel, Tom Tetzlaff, Markus Diesmann, Rainer Waser, Dirk J. Wouters
2022	J	`jnl`	A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations. Frontiers Neuroinformatics 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
2022	J	`jnl`	Connectivity concepts in neuronal network modeling. PLoS Comput. Biol. Johanna Senk, Birgit Kriener, Mikael Djurfeldt, Nicole Voges, Han-Jia Jiang, Lisa Schüttler, Gabriele Gramelsberger, Markus Diesmann, Hans E. Plesser, Sacha J. van Albada
2022	J	`jnl`	Phenomenological modeling of diverse and heterogeneous synaptic dynamics at natural density. CoRR 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
2022	J	`jnl`	Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers. Parallel Comput. Jari Pronold, Jakob Jordan, Brian J. N. Wylie, Itaru Kitayama, Markus Diesmann, Susanne Kunkel
2022	J	`jnl`	Sequence learning in a spiking neuronal network with memristive synapses. CoRR Younes Bouhadjar, Sebastian Siegel, Tom Tetzlaff, Markus Diesmann, Rainer Waser, Dirk J. Wouters
2022	J	`jnl`	Sequence learning, prediction, and replay in networks of spiking neurons. PLoS Comput. Biol. Younes Bouhadjar, Dirk J. Wouters, Markus Diesmann, Tom Tetzlaff
2022	J	`jnl`	Sub-realtime simulation of a neuronal network of natural density. Neuromorph. Comput. Eng. Anno Christopher Kurth, Johanna Senk, Dennis Terhorst, Justin Finnerty, Markus Diesmann
2021	J	`jnl`	Event-Based Update of Synapses in Voltage-Based Learning Rules. Frontiers Neuroinformatics Jonas Stapmanns, Jan Hahne, Moritz Helias, Matthias Bolten, Markus Diesmann, David Dahmen
2021	J	`jnl`	Routing brain traffic through the von Neumann bottleneck: Efficient cache usage in spiking neural network simulation code on general purpose computers. CoRR Jari Pronold, Jakob Jordan, Brian J. N. Wylie, Itaru Kitayama, Markus Diesmann, Susanne Kunkel
2021	J	`jnl`	Sub-realtime simulation of a neuronal network of natural density. CoRR Anno Christopher Kurth, Johanna Senk, Dennis Terhorst, Justin Finnerty, Markus Diesmann
2020	J	`jnl`	Efficient Communication in Distributed Simulations of Spiking Neuronal Networks With Gap Junctions. Frontiers Neuroinformatics Jakob Jordan, Moritz Helias, Markus Diesmann, Susanne Kunkel
2020	—	`conf`	The speed of sequence processing in biological neuronal networks. NICE Younes Bouhadjar, Markus Diesmann, Dirk J. Wouters, Tom Tetzlaff
2019	—	`conf`	Constraints on sequence processing speed in biological neuronal networks. ICONS Younes Bouhadjar, Markus Diesmann, Rainer Waser, Dirk J. Wouters, Tom Tetzlaff
2019	—	`conf`	Usage and Scaling of an Open-Source Spiking Multi-Area Model of Monkey Cortex. BrainComp Sacha J. van Albada, Jari Pronold, Alexander van Meegen, Markus Diesmann
2018	J	`jnl`	A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas. PLoS Comput. Biol. Maximilian Schmidt, Rembrandt Bakker, Kelly Shen, Gleb Bezgin, Markus Diesmann, Sacha Jennifer van Albada
2018	J	`jnl`	Corrigendum: Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers. Frontiers Neuroinformatics Jakob Jordan, Tammo Ippen, Moritz Helias, Itaru Kitayama, Mitsuhisa Sato, Jun Igarashi, Markus Diesmann, Susanne Kunkel
2018	J	`jnl`	Criteria on Balance, Stability, and Excitability in Cortical Networks for Constraining Computational Models. Frontiers Comput. Neurosci. Andrei Maksimov, Markus Diesmann, Sacha J. van Albada
2018	J	`jnl`	Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers. Frontiers Neuroinformatics Jakob Jordan, Tammo Ippen, Moritz Helias, Itaru Kitayama, Mitsuhisa Sato, Jun Igarashi, Markus Diesmann, Susanne Kunkel
2018	J	`jnl`	International Neuroscience Initiatives through the Lens of High-Performance Computing. Computer 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
2018	J	`jnl`	VIOLA - A Multi-Purpose and Web-Based Visualization Tool for Neuronal-Network Simulation Output. Frontiers Neuroinformatics Johanna Senk, Corto Carde, Espen Hagen, Torsten W. Kuhlen, Markus Diesmann, Benjamin Weyers
2017	J	`jnl`	Constructing Neuronal Network Models in Massively Parallel Environments. Frontiers Neuroinformatics Tammo Ippen, Jochen M. Eppler, Hans E. Plesser, Markus Diesmann
2017	J	`jnl`	Fundamental Activity Constraints Lead to Specific Interpretations of the Connectome. PLoS Comput. Biol. Jannis Schuecker, Maximilian Schmidt, Sacha J. van Albada, Markus Diesmann, Moritz Helias
2017	J	`jnl`	Integration of Continuous-Time Dynamics in a Spiking Neural Network Simulator. Frontiers Neuroinformatics Jan Hahne, David Dahmen, Jannis Schuecker, Andreas Frommer, Matthias Bolten, Moritz Helias, Markus Diesmann
2017	J	`jnl`	Perfect Detection of Spikes in the Linear Sub-threshold Dynamics of Point Neurons. Frontiers Neuroinformatics Jeyashree Krishnan, PierGianLuca Porta Mana, Moritz Helias, Markus Diesmann, Edoardo Di Napoli
2016	—	`conf`	A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC. JHPCS 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
2016	J	`jnl`	Dynamic effective connectivity in cortically embedded systems of recurrently coupled synfire chains. J. Comput. Neurosci. Chris Trengove, Markus Diesmann, Cees van Leeuwen
2016	J	`jnl`	Identifying Anatomical Origins of Coexisting Oscillations in the Cortical Microcircuit. PLoS Comput. Biol. Hannah Bos, Markus Diesmann, Moritz Helias
2015	J	`jnl`	A unified framework for spiking and gap-junction interactions in distributed neuronal network simulations. Frontiers Neuroinformatics Jan Hahne, Moritz Helias, Susanne Kunkel, Jun Igarashi, Matthias Bolten, Andreas Frommer, Markus Diesmann
2015	—	`conf`	Including Gap Junctions into Distributed Neuronal Network Simulations. BrainComp Jan Hahne, Moritz Helias, Susanne Kunkel, Jun Igarashi, Itaru Kitayama, Brian J. N. Wylie, Matthias Bolten, Andreas Frommer, Markus Diesmann
2015	J	`jnl`	Python in neuroscience. Frontiers Neuroinformatics Eilif B. Müller, James A. Bednar, Markus Diesmann, Marc-Oliver Gewaltig, Michael L. Hines, Andrew P. Davison
2015	J	`jnl`	Scalability of Asynchronous Networks Is Limited by One-to-One Mapping between Effective Connectivity and Correlations. PLoS Comput. Biol. Sacha J. van Albada, Moritz Helias, Markus Diesmann
2014	—	`ch.`	Collations of Connectivity Data on the Macaque Brain (CoCoMac). Encyclopedia of Computational Neuroscience Rembrandt Bakker, Markus Diesmann
2014	—	`ch.`	NEST: The Neural Simulation Tool. Encyclopedia of Computational Neuroscience Hans Ekkehard Plesser, Markus Diesmann, Marc-Oliver Gewaltig, Abigail Morrison
2014	J	`jnl`	Spiking network simulation code for petascale computers. Frontiers Neuroinformatics Susanne Kunkel, Maximilian Schmidt, Jochen Martin Eppler, Hans Ekkehard Plesser, Gen Masumoto, Jun Igarashi, Shin Ishii, Tomoki Fukai, Abigail Morrison, Markus Diesmann, Moritz Helias
2014	J	`jnl`	The Correlation Structure of Local Neuronal Networks Intrinsically Results from Recurrent Dynamics. PLoS Comput. Biol. Moritz Helias, Tom Tetzlaff, Markus Diesmann
2013	J	`jnl`	A unified view on weakly correlated recurrent networks. Frontiers Comput. Neurosci. Dmytro Grytskyy, Tom Tetzlaff, Markus Diesmann, Moritz Helias
2013	J	`jnl`	Compositionality in neural control: an interdisciplinary study of scribbling movements in primates. Frontiers Comput. Neurosci. Moshe Abeles, Markus Diesmann, Tamar Flash, Theo Geisel, Michael Hermann, Mina Teicher
2013	J	`jnl`	High-capacity embedding of synfire chains in a cortical network model. J. Comput. Neurosci. Chris Trengove, Cees van Leeuwen, Markus Diesmann
2013	J	`jnl`	How pattern formation in ring networks of excitatory and inhibitory spiking neurons depends on the input current regime. Frontiers Comput. Neurosci. Birgit Kriener, Moritz Helias, Stefan Rotter, Markus Diesmann, Gaute T. Einevoll
2013	—	`conf`	Integrating Brain Structure and Dynamics on Supercomputers. BrainComp Sacha J. van Albada, Susanne Kunkel, Abigail Morrison, Markus Diesmann
2013	J	`jnl`	Noise Suppression and Surplus Synchrony by Coincidence Detection. PLoS Comput. Biol. Matthias Schultze-Kraft, Markus Diesmann, Sonja Grün, Moritz Helias
2012	J	`jnl`	CoCoMac 2.0 and the future of tract-tracing databases. Frontiers Neuroinformatics Rembrandt Bakker, Thomas Wachtler, Markus Diesmann
2012	J	`jnl`	Decorrelation of Neural-Network Activity by Inhibitory Feedback. PLoS Comput. Biol. Tom Tetzlaff, Moritz Helias, Gaute T. Einevoll, Markus Diesmann
2012	J	`jnl`	Spike-Timing Dependence of Structural Plasticity Explains Cooperative Synapse Formation in the Neocortex. PLoS Comput. Biol. Moritz Deger, Moritz Helias, Stefan Rotter, Markus Diesmann
2012	J	`jnl`	Supercomputers Ready for Use as Discovery Machines for Neuroscience. Frontiers Neuroinformatics Moritz Helias, Susanne Kunkel, Gen Masumoto, Jun Igarashi, Jochen Martin Eppler, Shin Ishii, Tomoki Fukai, Abigail Morrison, Markus Diesmann
2011	J	`jnl`	A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems. Biol. Cybern. 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 B. Muller, Johannes Partzsch, Stefan Scholze, Lukas Zühl, Christian Mayr, Alain Destexhe, Markus Diesmann, Tobias C. Potjans, Anders Lansner, René Schüffny, Johannes Schemmel, Karlheinz Meier
2011	J	`jnl`	A reafferent and feed-forward model of song syntax generation in the Bengalese finch. J. Comput. Neurosci. Alexander Hanuschkin, Markus Diesmann, Abigail Morrison
2011	J	`jnl`	An Imperfect Dopaminergic Error Signal Can Drive Temporal-Difference Learning. PLoS Comput. Biol. Wiebke Potjans, Markus Diesmann, Abigail Morrison
2011	J	`jnl`	Compositionality of arm movements can be realized by propagating synchrony. J. Comput. Neurosci. Alexander Hanuschkin, J. Michael Herrmann, Abigail Morrison, Markus Diesmann
2011	J	`jnl`	Layer-Dependent Attentional Processing by Top-down Signals in a Visual Cortical Microcircuit Model. Frontiers Comput. Neurosci. Nobuhiko Wagatsuma, Tobias C. Potjans, Markus Diesmann, Tomoki Fukai
2011	J	`jnl`	Meeting the Memory Challenges of Brain-Scale Network Simulation. Frontiers Neuroinformatics Susanne Kunkel, Tobias C. Potjans, Jochen M. Eppler, Hans Ekkehard Plesser, Abigail Morrison, Markus Diesmann
2011	J	`jnl`	Multi-scale, multi-modal neural modeling and simulation. Neural Networks Shin Ishii, Markus Diesmann, Kenji Doya
2011	—	`conf`	Towards the Visualization of Spiking Neurons in Virtual Reality. MMVR Anette von Kapri, Tobias Rick, Tobias C. Potjans, Markus Diesmann, Torsten W. Kuhlen
2010	J	`jnl`	A Compositionality Machine Realized by a Hierarchic Architecture of Synfire Chains. Frontiers Comput. Neurosci. Sven Schrader, Markus Diesmann, Abigail Morrison
2010	J	`jnl`	A General and Efficient Method for Incorporating Precise Spike Times in Globally Time-Driven Simulations. Frontiers Neuroinformatics Alexander Hanuschkin, Susanne Kunkel, Moritz Helias, Abigail Morrison, Markus Diesmann
2010	J	`jnl`	Enabling Functional Neural Circuit Simulations with Distributed Computing of Neuromodulated Plasticity. Frontiers Comput. Neurosci. Wiebke Potjans, Abigail Morrison, Markus Diesmann
2010	J	`jnl`	Estimating the contribution of assembly activity to cortical dynamics from spike and population measures. J. Comput. Neurosci. Michael Denker, Alexa Riehle, Markus Diesmann, Sonja Grün
2010	J	`jnl`	Instantaneous Non-Linear Processing by Pulse-Coupled Threshold Units. PLoS Comput. Biol. Moritz Helias, Moritz Deger, Stefan Rotter, Markus Diesmann
2010	J	`jnl`	Limits to the Development of Feed-Forward Structures in Large Recurrent Neuronal Networks. Frontiers Comput. Neurosci. Susanne Kunkel, Markus Diesmann, Abigail Morrison
2010	J	`jnl`	Run-Time Interoperability Between Neuronal Network Simulators Based on the MUSIC Framework. Neuroinformatics Mikael Djurfeldt, Johannes Hjorth, Jochen M. Eppler, Niraj Dudani, Moritz Helias, Tobias C. Potjans, Upinder S. Bhalla, Markus Diesmann, Jeanette Hellgren Kotaleski, Örjan Ekeberg
2010	J	`jnl`	Surrogate Spike Train Generation Through Dithering in Operational Time. Frontiers Comput. Neurosci. Sebastien Louis, George L. Gerstein, Sonja Grün, Markus Diesmann
2009	J	`jnl`	A Spiking Neural Network Model of an Actor-Critic Learning Agent. Neural Comput. Wiebke Potjans, Abigail Morrison, Markus Diesmann
2009	J	`jnl`	Equilibrium and response properties of the integrate-and-fire neuron in discrete time. Frontiers Comput. Neurosci. Moritz Helias, Moritz Deger, Markus Diesmann, Stefan Rotter
2009	J	`jnl`	Simplicity and Efficiency of Integrate-and-Fire Neuron Models. Neural Comput. Hans Ekkehard Plesser, Markus Diesmann
2008	J	`jnl`	Correlations and Population Dynamics in Cortical Networks. Neural Comput. Birgit Kriener, Tom Tetzlaff, Ad Aertsen, Markus Diesmann, Stefan Rotter
2008	J	`jnl`	Dependence of Neuronal Correlations on Filter Characteristics and Marginal Spike Train Statistics. Neural Comput. Tom Tetzlaff, Stefan Rotter, Eran Stark, Moshe Abeles, Ad Aertsen, Markus Diesmann
2008	J	`jnl`	Phenomenological models of synaptic plasticity based on spike timing. Biol. Cybern. Abigail Morrison, Markus Diesmann, Wulfram Gerstner
2008	J	`jnl`	PyNEST: a convenient interface to the NEST simulator. Frontiers Neuroinformatics Jochen M. Eppler, Moritz Helias, Eilif B. Müller, Markus Diesmann, Marc-Oliver Gewaltig
2008	J	`jnl`	Structural plasticity controlled by calcium based correlation detection. Frontiers Comput. Neurosci. Moritz Helias, Stefan Rotter, Marc-Oliver Gewaltig, Markus Diesmann
2007	—	`conf`	Bounds of the Ability to Destroy Precise Coincidences by Spike Dithering. BVAI Antonio Pazienti, Markus Diesmann, Sonja Grün
2007	—	`conf`	Efficient Parallel Simulation of Large-Scale Neuronal Networks on Clusters of Multiprocessor Computers. Euro-Par Hans E. Plesser, Jochen M. Eppler, Abigail Morrison, Markus Diesmann, Marc-Oliver Gewaltig
2007	J	`jnl`	Exact Subthreshold Integration with Continuous Spike Times in Discrete-Time Neural Network Simulations. Neural Comput. Abigail Morrison, Sirko Straube, Hans Ekkehard Plesser, Markus Diesmann
2007	—	`conf`	Impact of Higher-Order Correlations on Coincidence Distributions of Massively Parallel Data. Summer School on Neural Networks Sonja Grün, Moshe Abeles, Markus Diesmann
2007	—	`conf`	Multithreaded and Distributed Simulation of Large Biological Neuronal Networks. PVM/MPI Jochen M. Eppler, Hans E. Plesser, Abigail Morrison, Markus Diesmann, Marc-Oliver Gewaltig
2007	J	`jnl`	NEST (NEural Simulation Tool). Scholarpedia Marc-Oliver Gewaltig, Markus Diesmann
2007	J	`jnl`	Simulation of networks of spiking neurons: A review of tools and strategies. J. Comput. Neurosci. 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 B. Muller, Andrew P. Davison, Sami El Boustani, Alain Destexhe
2007	J	`jnl`	Spike-Timing-Dependent Plasticity in Balanced Random Networks. Neural Comput. Abigail Morrison, Ad Aertsen, Markus Diesmann
2006	J	`jnl`	A Bottom-up approach to Grid-Computing at a University: the Black-Forest-Grid Initiative. Prax. Inf.verarb. Kommun. 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
2006	J	`jnl`	Programmable Logic Construction Kits for Hyper-Real-Time Neuronal Modeling. Neural Comput. Ruben Guerrero-Rivera, Abigail Morrison, Markus Diesmann, Tim C. Pearce
2005	J	`jnl`	Advancing the Boundaries of High-Connectivity Network Simulation with Distributed Computing. Neural Comput. Abigail Morrison, Carsten Mehring, Theo Geisel, Ad Aertsen, Markus Diesmann
2004	J	`jnl`	Consequences of realistic network size on the stability of embedded synfire chains. Neurocomputing Tom Tetzlaff, Abigail Morrison, Theo Geisel, Markus Diesmann
2003	J	`jnl`	Activity dynamics and propagation of synchronous spiking in locally connected random networks. Biol. Cybern. Carsten Mehring, Ulrich Hehl, Masayoshi Kubo, Markus Diesmann, Ad Aertsen
2003	J	`jnl`	Effect of cross-trial nonstationarity on joint-spike events. Biol. Cybern. Sonja Grün, Alexa Riehle, Markus Diesmann
2003	J	`jnl`	Significance of joint-spike events based on trial-shuffling by efficient combinatorial methods. Complex. Gordon Pipa, Markus Diesmann, Sonja Grün
2003	J	`jnl`	The spread of rate and correlation in stationary cortical networks. Neurocomputing Tom Tetzlaff, Michael Buschermöhle, Theo Geisel, Markus Diesmann
2002	J	`jnl`	The ground state of cortical feed-forward networks. Neurocomputing Tom Tetzlaff, Theo Geisel, Markus Diesmann
2002	J	`jnl`	Unitary Events in Multiple Single-Neuron Spiking Activity: I. Detection and Significance. Neural Comput. Sonja Grün, Markus Diesmann, Ad Aertsen
2002	J	`jnl`	Unitary Events in Multiple Single-Neuron Spiking Activity: II. Nonstationary Data. Neural Comput. Sonja Grün, Markus Diesmann, Ad Aertsen
2001	J	`jnl`	Cortical synfire-activity: Configuration space and survival probability. Neurocomputing Marc-Oliver Gewaltig, Markus Diesmann, Ad Aertsen
2001	J	`jnl`	Propagation of cortical synfire activity: survival probability in single trials and stability in the mean. Neural Networks Marc-Oliver Gewaltig, Markus Diesmann, Ad Aertsen
2001	J	`jnl`	State space analysis of synchronous spiking in cortical neural networks. Neurocomputing Markus Diesmann, Marc-Oliver Gewaltig, Stefan Rotter, Ad Aertsen
1999	J	`jnl`	Exact digital simulation of time-invariant linear systems with applications to neuronal modeling. Biol. Cybern. Stefan Rotter, Markus Diesmann
1995	—	`conf`	Propagation of Synfire Activity in Cortical Networks: a Statistical Approach. SNN Symposium on Neural Networks Marc-Oliver Gewaltig, Markus Diesmann, Ad Aertsen