Markus Diesmann

  • Forschungszentrum Jülich, Germany

According to our database1, Markus Diesmann authored at least 93 papers between 1995 and 2023.

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In proceedings 
PhD thesis 


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Editorial: Neuroscience, computing, performance, and benchmarks: Why it matters to neuroscience how fast we can compute.
Frontiers Neuroinformatics, March, 2023

Coherent noise enables probabilistic sequence replay in spiking neuronal networks.
PLoS Comput. Biol., 2023

Connectivity concepts in neuronal network modeling.
PLoS Comput. Biol., September, 2022

Sequence learning, prediction, and replay in networks of spiking neurons.
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.
Parallel Comput., 2022

Sub-realtime simulation of a neuronal network of natural density.
Neuromorph. Comput. Eng., 2022

A Modular Workflow for Performance Benchmarking of Neuronal Network Simulations.
Frontiers Neuroinformatics, 2022

Phenomenological modeling of diverse and heterogeneous synaptic dynamics at natural density.
CoRR, 2022

Sequence learning in a spiking neuronal network with memristive synapses.
CoRR, 2022

Event-Based Update of Synapses in Voltage-Based Learning Rules.
Frontiers Neuroinformatics, 2021

Efficient Communication in Distributed Simulations of Spiking Neuronal Networks With Gap Junctions.
Frontiers Neuroinformatics, 2020

The speed of sequence processing in biological neuronal networks.
Proceedings of the NICE '20: Neuro-inspired Computational Elements Workshop, 2020

Constraints on sequence processing speed in biological neuronal networks.
Proceedings of the International Conference on Neuromorphic Systems, 2019

Usage and Scaling of an Open-Source Spiking Multi-Area Model of Monkey Cortex.
Proceedings of the Brain-Inspired Computing - 4th International Workshop, 2019

A multi-scale layer-resolved spiking network model of resting-state dynamics in macaque visual cortical areas.
PLoS Comput. Biol., 2018

VIOLA - A Multi-Purpose and Web-Based Visualization Tool for Neuronal-Network Simulation Output.
Frontiers Neuroinformatics, 2018

Corrigendum: Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers.
Frontiers Neuroinformatics, 2018

Extremely Scalable Spiking Neuronal Network Simulation Code: From Laptops to Exascale Computers.
Frontiers Neuroinformatics, 2018

Criteria on Balance, Stability, and Excitability in Cortical Networks for Constraining Computational Models.
Frontiers Comput. Neurosci., 2018

International Neuroscience Initiatives through the Lens of High-Performance Computing.
Computer, 2018

Fundamental Activity Constraints Lead to Specific Interpretations of the Connectome.
PLoS Comput. Biol., 2017

Perfect Detection of Spikes in the Linear Sub-threshold Dynamics of Point Neurons.
Frontiers Neuroinformatics, 2017

Constructing Neuronal Network Models in Massively Parallel Environments.
Frontiers Neuroinformatics, 2017

Integration of Continuous-Time Dynamics in a Spiking Neural Network Simulator.
Frontiers Neuroinformatics, 2017

Identifying Anatomical Origins of Coexisting Oscillations in the Cortical Microcircuit.
PLoS Comput. Biol., 2016

Dynamic effective connectivity in cortically embedded systems of recurrently coupled synfire chains.
J. Comput. Neurosci., 2016

A Collaborative Simulation-Analysis Workflow for Computational Neuroscience Using HPC.
Proceedings of the High-Performance Scientific Computing, 2016

Scalability of Asynchronous Networks Is Limited by One-to-One Mapping between Effective Connectivity and Correlations.
PLoS Comput. Biol., 2015

Python in neuroscience.
Frontiers Neuroinformatics, 2015

A unified framework for spiking and gap-junction interactions in distributed neuronal network simulations.
Frontiers Neuroinformatics, 2015

Including Gap Junctions into Distributed Neuronal Network Simulations.
Proceedings of the Brain-Inspired Computing - Second International Workshop, 2015

NEST: The Neural Simulation Tool.
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

Collations of Connectivity Data on the Macaque Brain (CoCoMac).
Proceedings of the Encyclopedia of Computational Neuroscience, 2014

The Correlation Structure of Local Neuronal Networks Intrinsically Results from Recurrent Dynamics.
PLoS Comput. Biol., 2014

Spiking network simulation code for petascale computers.
Frontiers Neuroinformatics, 2014

Noise Suppression and Surplus Synchrony by Coincidence Detection.
PLoS Comput. Biol., 2013

High-capacity embedding of synfire chains in a cortical network model.
J. Comput. Neurosci., 2013

How pattern formation in ring networks of excitatory and inhibitory spiking neurons depends on the input current regime.
Frontiers Comput. Neurosci., 2013

A unified view on weakly correlated recurrent networks.
Frontiers Comput. Neurosci., 2013

Compositionality in neural control: an interdisciplinary study of scribbling movements in primates.
Frontiers Comput. Neurosci., 2013

Integrating Brain Structure and Dynamics on Supercomputers.
Proceedings of the Brain-Inspired Computing - International Workshop, 2013

Decorrelation of Neural-Network Activity by Inhibitory Feedback.
PLoS Comput. Biol., 2012

Spike-Timing Dependence of Structural Plasticity Explains Cooperative Synapse Formation in the Neocortex.
PLoS Comput. Biol., 2012

Supercomputers Ready for Use as Discovery Machines for Neuroscience.
Frontiers Neuroinformatics, 2012

CoCoMac 2.0 and the future of tract-tracing databases.
Frontiers Neuroinformatics, 2012

An Imperfect Dopaminergic Error Signal Can Drive Temporal-Difference Learning.
PLoS Comput. Biol., 2011

Multi-scale, multi-modal neural modeling and simulation.
Neural Networks, 2011

Compositionality of arm movements can be realized by propagating synchrony.
J. Comput. Neurosci., 2011

A reafferent and feed-forward model of song syntax generation in the Bengalese finch.
J. Comput. Neurosci., 2011

Meeting the Memory Challenges of Brain-Scale Network Simulation.
Frontiers Neuroinformatics, 2011

Layer-Dependent Attentional Processing by Top-down Signals in a Visual Cortical Microcircuit Model.
Frontiers Comput. Neurosci., 2011

A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems.
Biol. Cybern., 2011

Towards the Visualization of Spiking Neurons in Virtual Reality.
Proceedings of the Medicine Meets Virtual Reality 18 - NextMed, 2011

Instantaneous Non-Linear Processing by Pulse-Coupled Threshold Units.
PLoS Comput. Biol., 2010

Run-Time Interoperability Between Neuronal Network Simulators Based on the MUSIC Framework.
Neuroinformatics, 2010

Estimating the contribution of assembly activity to cortical dynamics from spike and population measures.
J. Comput. Neurosci., 2010

A General and Efficient Method for Incorporating Precise Spike Times in Globally Time-Driven Simulations.
Frontiers Neuroinformatics, 2010

A Compositionality Machine Realized by a Hierarchic Architecture of Synfire Chains.
Frontiers Comput. Neurosci., 2010

Enabling Functional Neural Circuit Simulations with Distributed Computing of Neuromodulated Plasticity.
Frontiers Comput. Neurosci., 2010

Surrogate Spike Train Generation Through Dithering in Operational Time.
Frontiers Comput. Neurosci., 2010

Limits to the Development of Feed-Forward Structures in Large Recurrent Neuronal Networks.
Frontiers Comput. Neurosci., 2010

A Spiking Neural Network Model of an Actor-Critic Learning Agent.
Neural Comput., 2009

Simplicity and Efficiency of Integrate-and-Fire Neuron Models.
Neural Comput., 2009

Equilibrium and response properties of the integrate-and-fire neuron in discrete time.
Frontiers Comput. Neurosci., 2009

Dependence of Neuronal Correlations on Filter Characteristics and Marginal Spike Train Statistics.
Neural Comput., 2008

Correlations and Population Dynamics in Cortical Networks.
Neural Comput., 2008

PyNEST: a convenient interface to the NEST simulator.
Frontiers Neuroinformatics, 2008

Structural plasticity controlled by calcium based correlation detection.
Frontiers Comput. Neurosci., 2008

Phenomenological models of synaptic plasticity based on spike timing.
Biol. Cybern., 2008

NEST (NEural Simulation Tool).
Scholarpedia, 2007

Exact Subthreshold Integration with Continuous Spike Times in Discrete-Time Neural Network Simulations.
Neural Comput., 2007

Spike-Timing-Dependent Plasticity in Balanced Random Networks.
Neural Comput., 2007

Simulation of networks of spiking neurons: A review of tools and strategies.
J. Comput. Neurosci., 2007

Multithreaded and Distributed Simulation of Large Biological Neuronal Networks.
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.
Proceedings of the Dynamic Brain, 2007

Efficient Parallel Simulation of Large-Scale Neuronal Networks on Clusters of Multiprocessor Computers.
Proceedings of the Euro-Par 2007, 2007

Bounds of the Ability to Destroy Precise Coincidences by Spike Dithering.
Proceedings of the Advances in Brain, 2007

A Bottom-up approach to Grid-Computing at a University: the Black-Forest-Grid Initiative.
Prax. Inf.verarb. Kommun., 2006

Programmable Logic Construction Kits for Hyper-Real-Time Neuronal Modeling.
Neural Comput., 2006

Advancing the Boundaries of High-Connectivity Network Simulation with Distributed Computing.
Neural Comput., 2005

Consequences of realistic network size on the stability of embedded synfire chains.
Neurocomputing, 2004

The spread of rate and correlation in stationary cortical networks.
Neurocomputing, 2003

Significance of joint-spike events based on trial-shuffling by efficient combinatorial methods.
Complex., 2003

Activity dynamics and propagation of synchronous spiking in locally connected random networks.
Biol. Cybern., 2003

Effect of cross-trial nonstationarity on joint-spike events.
Biol. Cybern., 2003

Unitary Events in Multiple Single-Neuron Spiking Activity: II. Nonstationary Data.
Neural Comput., 2002

Unitary Events in Multiple Single-Neuron Spiking Activity: I. Detection and Significance.
Neural Comput., 2002

The ground state of cortical feed-forward networks.
Neurocomputing, 2002

Propagation of cortical synfire activity: survival probability in single trials and stability in the mean.
Neural Networks, 2001

Cortical synfire-activity: Configuration space and survival probability.
Neurocomputing, 2001

State space analysis of synchronous spiking in cortical neural networks.
Neurocomputing, 2001

Exact digital simulation of time-invariant linear systems with applications to neuronal modeling.
Biol. Cybern., 1999

Propagation of Synfire Activity in Cortical Networks: a Statistical Approach.
Proceedings of the Neural Networks: Artificial Intelligence and Industrial Applications, 1995