A unified framework for spiking and gap-junction interactions in distributed neuronal network simulations

Autor: Jan eHahne, Moritz eHelias, Susanne eKunkel, Jun eIgarashi, Matthias eBolten, Andreas eFrommer, Markus eDiesmann

Publikováno v: Frontiers in Neuroinformatics, Vol 9 (2015)

Contemporary simulators for networks of point and few-compartment model neurons come with a plethora of ready-to-use neuron and synapse models and support complex network topologies. Recent technological advancements have broadened the spectrum of ap

Externí odkaz: https://doaj.org/article/5148c10dbdb14213ae067d002ec16257

Supercomputers ready for use as discovery machines for neuroscience

Autor: Moritz eHelias, Susanne eKunkel, Gen eMasumoto, Jun eIgarashi, Jochen Martin Eppler, Shin eIshii, Tomoki eFukai, Abigail eMorrison, Markus eDiesmann

Publikováno v: Frontiers in Neuroinformatics, Vol 6 (2012)

NEST is a widely used tool to simulate biological spiking neural networks. Here we explain theimprovements, guided by a mathematical model of memory consumption, that enable us to exploitfor the first time the computational power of the K supercomput

Externí odkaz: https://doaj.org/article/ab9c08a0538e4db9bea9ac2145285f77

Meeting the memory challenges of brain-scale network simulation

Autor: Susanne eKunkel, Tobias C Potjans, Jochen Martin Eppler, Hans Ekkehard Ekkehard Plesser, Abigail eMorrison, Markus eDiesmann

Publikováno v: Frontiers in Neuroinformatics
Frontiers in Neuroinformatics 5(5), 1-15 (2012). doi:10.3389/fninf.2011.00035
Frontiers in Neuroinformatics, Vol 5 (2012)

The development of high-performance simulation software is crucial for studying the brain connectome. Using connectome data to generate neurocomputational models requires software capable of coping with models on a variety of scales: from the microsc

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cc2f5bc00b0a48a57704e3b9405dfced
https://pubmed.ncbi.nlm.nih.gov/22291636