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Frontiers in Neuroinformatics
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July 14, 2017
The NEST Dry-Run Mode: Efficient Dynamic Analysis of Neuronal Network Simulation Code
Susanne Kunkel, Wolfram Schenck
Frontiers in Computational Neuroscience
|
March 19, 2011
Limits to the development of feed-forward structures in large recurrent neuronal networks
Susanne Kunkel, Markus Diesmann, Abigail Morrison
Frontiers in Neuroinformatics
|
August 21, 2018
Reproducing Polychronization: A Guide to Maximizing the Reproducibility of Spiking Network Models
Robin Pauli, Philipp Weidel, Susanne Kunkel, et al.
Frontiers in Neuroinformatics
|
May 21, 2020
Efficient Communication in Distributed Simulations of Spiking Neuronal Networks With Gap Junctions
Jakob Jordan, Moritz Helias, Markus Diesmann, et al.
Frontiers in Neuroinformatics
|
October 30, 2010
A general and efficient method for incorporating precise spike times in globally time-driven simulations
Alexander Hanuschkin, Susanne Kunkel, Moritz Helias, et al.
Biophysical Journal
|
November 4, 2010
Histone depletion facilitates chromatin loops on the kilobasepair scale
Philipp M Diesinger, Susanne Kunkel, Jörg Langowski, et al.
Frontiers in Neuroinformatics
|
October 7, 2015
A unified framework for spiking and gap-junction interactions in distributed neuronal network simulations
Jan Hahne, Moritz Helias, Susanne Kunkel, et al.
Frontiers in Neuroinformatics
|
March 18, 2022
Routing Brain Traffic Through the Von Neumann Bottleneck: Parallel Sorting and Refactoring
Jari Pronold, Jakob Jordan, Brian J N Wylie, et al.
Frontiers in Neuroinformatics
|
February 1, 2012
Meeting the memory challenges of brain-scale network simulation
Susanne Kunkel, Tobias C Potjans, Jochen M Eppler, et al.
Frontiers in Computational Neuroscience
|
September 11, 2025
Closed-loop coupling of both physiological spindle model and spinal pathways for sensorimotor control of human center-out reaching
Pablo Filipe Santana Chacon, Isabell Wochner, Maria Hammer, et al.
Page
of 2
Search research articles
Search
Showing results (1-10 of 16) with videos related to
Sort By:
Page
of 2
Frontiers in Neuroinformatics
|
July 14, 2017
The NEST Dry-Run Mode: Efficient Dynamic Analysis of Neuronal Network Simulation Code
Susanne Kunkel, Wolfram Schenck
Frontiers in Computational Neuroscience
|
March 19, 2011
Limits to the development of feed-forward structures in large recurrent neuronal networks
Susanne Kunkel, Markus Diesmann, Abigail Morrison
Frontiers in Neuroinformatics
|
August 21, 2018
Reproducing Polychronization: A Guide to Maximizing the Reproducibility of Spiking Network Models
Robin Pauli, Philipp Weidel, Susanne Kunkel, et al.
Frontiers in Neuroinformatics
|
May 21, 2020
Efficient Communication in Distributed Simulations of Spiking Neuronal Networks With Gap Junctions
Jakob Jordan, Moritz Helias, Markus Diesmann, et al.
Frontiers in Neuroinformatics
|
October 30, 2010
A general and efficient method for incorporating precise spike times in globally time-driven simulations
Alexander Hanuschkin, Susanne Kunkel, Moritz Helias, et al.
Biophysical Journal
|
November 4, 2010
Histone depletion facilitates chromatin loops on the kilobasepair scale
Philipp M Diesinger, Susanne Kunkel, Jörg Langowski, et al.
Frontiers in Neuroinformatics
|
October 7, 2015
A unified framework for spiking and gap-junction interactions in distributed neuronal network simulations
Jan Hahne, Moritz Helias, Susanne Kunkel, et al.
Frontiers in Neuroinformatics
|
March 18, 2022
Routing Brain Traffic Through the Von Neumann Bottleneck: Parallel Sorting and Refactoring
Jari Pronold, Jakob Jordan, Brian J N Wylie, et al.
Frontiers in Neuroinformatics
|
February 1, 2012
Meeting the memory challenges of brain-scale network simulation
Susanne Kunkel, Tobias C Potjans, Jochen M Eppler, et al.
Frontiers in Computational Neuroscience
|
September 11, 2025
Closed-loop coupling of both physiological spindle model and spinal pathways for sensorimotor control of human center-out reaching
Pablo Filipe Santana Chacon, Isabell Wochner, Maria Hammer, et al.
Page
of 2