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ORCIDMarkus Diesmann
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- affiliation: Forschungszentrum Jülich, Germany
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2020 – today
- 2024
[j79]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): 465-468 (2024)- 2023
- [j78]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) - [j77]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): 34014 (2023) - [j76]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) - 2022
- [j75]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: 837549 (2022) - [j74]Anno Christopher Kurth, Johanna Senk, Dennis Terhorst, Justin Finnerty, Markus Diesmann:
Sub-realtime simulation of a neuronal network of natural density. Neuromorph. Comput. Eng. 2(2): 21001 (2022) - [j73]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: 102952 (2022) - [j72]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) - [j71]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): 1010086 (2022) - [i4]Younes Bouhadjar, Sebastian Siegel, Tom Tetzlaff, Markus Diesmann, Rainer Waser, Dirk J. Wouters:
Sequence learning in a spiking neuronal network with memristive synapses. CoRR abs/2211.16592 (2022) - [i3]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:
Phenomenological modeling of diverse and heterogeneous synaptic dynamics at natural density. CoRR abs/2212.05354 (2022) - 2021
- [j70]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: 609147 (2021) - [i2]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 abs/2109.12855 (2021) - [i1]Anno Christopher Kurth, Johanna Senk, Dennis Terhorst, Justin Finnerty, Markus Diesmann:
Sub-realtime simulation of a neuronal network of natural density. CoRR abs/2111.04398 (2021) - 2020
- [j69]Jakob Jordan, Moritz Helias, Markus Diesmann, Susanne Kunkel:
Efficient Communication in Distributed Simulations of Spiking Neuronal Networks With Gap Junctions. Frontiers Neuroinformatics 14: 12 (2020) - [c12]Younes Bouhadjar, Markus Diesmann, Dirk J. Wouters, Tom Tetzlaff:
The speed of sequence processing in biological neuronal networks. NICE 2020: 13:1-13:2
2010 – 2019
- 2019
- [c11]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: 47-59 - [c10]Younes Bouhadjar, Markus Diesmann, Rainer Waser, Dirk J. Wouters, Tom Tetzlaff:
Constraints on sequence processing speed in biological neuronal networks. ICONS 2019: 16:1-16:9 - 2018
- [j68]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): 50-59 (2018) - [j67]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: 44 (2018) - [j66]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: 2 (2018) - [j65]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: 34 (2018) - [j64]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: 75 (2018) - [j63]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) - 2017
- [j62]Tammo Ippen, Jochen M. Eppler, Hans E. Plesser, Markus Diesmann:
Constructing Neuronal Network Models in Massively Parallel Environments. Frontiers Neuroinformatics 11: 30 (2017) - [j61]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: 34 (2017) - [j60]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: 75 (2017) - [j59]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) - 2016
- [j58]Chris Trengove, Markus Diesmann, Cees van Leeuwen:
Dynamic effective connectivity in cortically embedded systems of recurrently coupled synfire chains. J. Comput. Neurosci. 40(1): 1-26 (2016) - [j57]Hannah Bos, Markus Diesmann, Moritz Helias:
Identifying Anatomical Origins of Coexisting Oscillations in the Cortical Microcircuit. PLoS Comput. Biol. 12(10) (2016) - [c9]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: 243-256 - 2015
- [j56]Eilif B. Müller, James A. Bednar, Markus Diesmann, Marc-Oliver Gewaltig, Michael L. Hines, Andrew P. Davison:
Python in neuroscience. Frontiers Neuroinformatics 9: 11 (2015) - [j55]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: 22 (2015) - [j54]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) - [c8]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: 43-57 - 2014
- [j53]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: 78 (2014) - [j52]Moritz Helias, Tom Tetzlaff, Markus Diesmann:
The Correlation Structure of Local Neuronal Networks Intrinsically Results from Recurrent Dynamics. PLoS Comput. Biol. 10(1) (2014) - [r2]Rembrandt Bakker, Markus Diesmann:
Collations of Connectivity Data on the Macaque Brain (CoCoMac). Encyclopedia of Computational Neuroscience 2014 - [r1]Hans Ekkehard Plesser, Markus Diesmann, Marc-Oliver Gewaltig, Abigail Morrison:
NEST: The Neural Simulation Tool. Encyclopedia of Computational Neuroscience 2014 - 2013
- [j51]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: 103 (2013) - [j50]Dmytro Grytskyy, Tom Tetzlaff, Markus Diesmann, Moritz Helias:
A unified view on weakly correlated recurrent networks. Frontiers Comput. Neurosci. 7: 131 (2013) - [j49]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: 187 (2013) - [j48]Chris Trengove, Cees van Leeuwen, Markus Diesmann:
High-capacity embedding of synfire chains in a cortical network model. J. Comput. Neurosci. 34(2): 185-209 (2013) - [j47]Matthias Schultze-Kraft, Markus Diesmann, Sonja Grün, Moritz Helias:
Noise Suppression and Surplus Synchrony by Coincidence Detection. PLoS Comput. Biol. 9(4) (2013) - [c7]Sacha J. van Albada, Susanne Kunkel, Abigail Morrison, Markus Diesmann:
Integrating Brain Structure and Dynamics on Supercomputers. BrainComp 2013: 22-32 - 2012
- [j46]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: 26 (2012) - [j45]Rembrandt Bakker, Thomas Wachtler, Markus Diesmann:
CoCoMac 2.0 and the future of tract-tracing databases. Frontiers Neuroinformatics 6: 30 (2012) - [j44]Tom Tetzlaff, Moritz Helias, Gaute T. Einevoll, Markus Diesmann:
Decorrelation of Neural-Network Activity by Inhibitory Feedback. PLoS Comput. Biol. 8(8) (2012) - [j43]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) - 2011
- [j42]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): 263-296 (2011) - [j41]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: 31 (2011) - [j40]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: 35 (2011) - [j39]Alexander Hanuschkin, J. Michael Herrmann, Abigail Morrison, Markus Diesmann:
Compositionality of arm movements can be realized by propagating synchrony. J. Comput. Neurosci. 30(3): 675-697 (2011) - [j38]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): 509-532 (2011) - [j37]Shin Ishii, Markus Diesmann, Kenji Doya:
Multi-scale, multi-modal neural modeling and simulation. Neural Networks 24(9): 917 (2011) - [j36]Wiebke Potjans, Markus Diesmann, Abigail Morrison:
An Imperfect Dopaminergic Error Signal Can Drive Temporal-Difference Learning. PLoS Comput. Biol. 7(5) (2011) - [c6]Anette von Kapri, Tobias Rick, Tobias C. Potjans, Markus Diesmann, Torsten W. Kuhlen:
Towards the Visualization of Spiking Neurons in Virtual Reality. MMVR 2011: 685-687 - 2010
- [j35]Sebastien Louis, George L. Gerstein, Sonja Grün, Markus Diesmann:
Surrogate Spike Train Generation Through Dithering in Operational Time. Frontiers Comput. Neurosci. 4: 127 (2010) - [j34]Wiebke Potjans, Abigail Morrison, Markus Diesmann:
Enabling Functional Neural Circuit Simulations with Distributed Computing of Neuromodulated Plasticity. Frontiers Comput. Neurosci. 4: 141 (2010) - [j33]Sven Schrader, Markus Diesmann, Abigail Morrison:
A Compositionality Machine Realized by a Hierarchic Architecture of Synfire Chains. Frontiers Comput. Neurosci. 4: 154 (2010) - [j32]Susanne Kunkel, Markus Diesmann, Abigail Morrison:
Limits to the Development of Feed-Forward Structures in Large Recurrent Neuronal Networks. Frontiers Comput. Neurosci. 4: 160 (2010) - [j31]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: 113 (2010) - [j30]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): 599-613 (2010) - [j29]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): 43-60 (2010) - [j28]Moritz Helias, Moritz Deger, Stefan Rotter, Markus Diesmann:
Instantaneous Non-Linear Processing by Pulse-Coupled Threshold Units. PLoS Comput. Biol. 6(9) (2010)
2000 – 2009
- 2009
- [j27]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: 29 (2009) - [j26]Wiebke Potjans, Abigail Morrison, Markus Diesmann:
A Spiking Neural Network Model of an Actor-Critic Learning Agent. Neural Comput. 21(2): 301-339 (2009) - [j25]Hans Ekkehard Plesser, Markus Diesmann:
Simplicity and Efficiency of Integrate-and-Fire Neuron Models. Neural Comput. 21(2): 353-359 (2009) - 2008
- [j24]Abigail Morrison, Markus Diesmann, Wulfram Gerstner:
Phenomenological models of synaptic plasticity based on spike timing. Biol. Cybern. 98(6): 459-478 (2008) - [j23]Moritz Helias, Stefan Rotter, Marc-Oliver Gewaltig, Markus Diesmann:
Structural plasticity controlled by calcium based correlation detection. Frontiers Comput. Neurosci. 2: 7 (2008) - [j22]Jochen M. Eppler, Moritz Helias, Eilif B. Müller, Markus Diesmann, Marc-Oliver Gewaltig:
PyNEST: a convenient interface to the NEST simulator. Frontiers Neuroinformatics 2: 12 (2008) - [j21]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): 2133-2184 (2008) - [j20]Birgit Kriener, Tom Tetzlaff, Ad Aertsen, Markus Diesmann, Stefan Rotter:
Correlations and Population Dynamics in Cortical Networks. Neural Comput. 20(9): 2185-2226 (2008) - 2007
- [j19]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): 349-398 (2007) - [j18]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): 47-79 (2007) - [j17]Abigail Morrison, Ad Aertsen, Markus Diesmann:
Spike-Timing-Dependent Plasticity in Balanced Random Networks. Neural Comput. 19(6): 1437-1467 (2007) - [j16]Marc-Oliver Gewaltig, Markus Diesmann:
NEST (NEural Simulation Tool). Scholarpedia 2(4): 1430 (2007) - [c5]Antonio Pazienti, Markus Diesmann, Sonja Grün:
Bounds of the Ability to Destroy Precise Coincidences by Spike Dithering. BVAI 2007: 428-437 - [c4]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: 672-681 - [c3]Sonja Grün, Moshe Abeles, Markus Diesmann:
Impact of Higher-Order Correlations on Coincidence Distributions of Massively Parallel Data. Summer School on Neural Networks 2007: 96-114 - [c2]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: 391-392 - 2006
- [j15]Ruben Guerrero-Rivera, Abigail Morrison, Markus Diesmann, Tim C. Pearce:
Programmable Logic Construction Kits for Hyper-Real-Time Neuronal Modeling. Neural Comput. 18(11): 2651-2679 (2006) - [j14]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): 81-87 (2006) - 2005
- [j13]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): 1776-1801 (2005) - 2004
- [j12]Tom Tetzlaff, Abigail Morrison, Theo Geisel, Markus Diesmann:
Consequences of realistic network size on the stability of embedded synfire chains. Neurocomputing 58-60: 117-121 (2004) - 2003
- [j11]Sonja Grün, Alexa Riehle, Markus Diesmann:
Effect of cross-trial nonstationarity on joint-spike events. Biol. Cybern. 88(5): 335-351 (2003) - [j10]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): 395-408 (2003) - [j9]Gordon Pipa, Markus Diesmann, Sonja Grün:
Significance of joint-spike events based on trial-shuffling by efficient combinatorial methods. Complex. 8(4): 79-86 (2003) - [j8]Tom Tetzlaff, Michael Buschermöhle, Theo Geisel, Markus Diesmann:
The spread of rate and correlation in stationary cortical networks. Neurocomputing 52-54: 949-954 (2003) - 2002
- [j7]Tom Tetzlaff, Theo Geisel, Markus Diesmann:
The ground state of cortical feed-forward networks. Neurocomputing 44-46: 673-678 (2002) - [j6]Sonja Grün, Markus Diesmann, Ad Aertsen:
Unitary Events in Multiple Single-Neuron Spiking Activity: I. Detection and Significance. Neural Comput. 14(1): 43-80 (2002) - [j5]Sonja Grün, Markus Diesmann, Ad Aertsen:
Unitary Events in Multiple Single-Neuron Spiking Activity: II. Nonstationary Data. Neural Comput. 14(1): 81-119 (2002) - 2001
- [j4]Markus Diesmann, Marc-Oliver Gewaltig, Stefan Rotter, Ad Aertsen:
State space analysis of synchronous spiking in cortical neural networks. Neurocomputing 38-40: 565-571 (2001) - [j3]Marc-Oliver Gewaltig, Markus Diesmann, Ad Aertsen:
Cortical synfire-activity: Configuration space and survival probability. Neurocomputing 38-40: 621-626 (2001) - [j2]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): 657-673 (2001)
1990 – 1999
- 1999
- [j1]Stefan Rotter, Markus Diesmann:
Exact digital simulation of time-invariant linear systems with applications to neuronal modeling. Biol. Cybern. 81(5-6): 381-402 (1999) - 1995
- [c1]Marc-Oliver Gewaltig, Markus Diesmann, Ad Aertsen:
Propagation of Synfire Activity in Cortical Networks: a Statistical Approach. SNN Symposium on Neural Networks 1995: 37-40
Coauthor Index
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