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000825758 0247_ $$2ISSN$$a1611-3349
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000825758 1001_ $$0P:(DE-HGF)0$$aHahne, Jan$$b0$$eCorresponding author
000825758 1112_ $$aInternational Workshop on Brain-Inspired Computing$$cCetraro$$d2015-07-06 - 2015-07-10$$gBrainComp 2015$$wItaly
000825758 245__ $$aIncluding Gap Junctions into Distributed Neuronal Network Simulations
000825758 260__ $$aCham$$bSpringer International Publishing$$c2016
000825758 29510 $$aBrain-Inspired Computing / Amunts, Katrin (Editor)   ; Cham : Springer International Publishing, 2016, Chapter 4 ; ISSN: 0302-9743=1611-3349 ; ISBN: 978-3-319-50861-0=978-3-319-50862-7 ; doi:10.1007/978-3-319-50862-7
000825758 300__ $$a43 - 57
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000825758 4900_ $$aLecture Notes in Computer Science$$v10087
000825758 520__ $$aContemporary simulation technology for neuronal networks enables the simulation of brain-scale networks using neuron models with a single or a few compartments. However, distributed simulations at full cell density are still lacking the electrical coupling between cells via so called gap junctions. This is due to the absence of efficient algorithms to simulate gap junctions on large parallel computers. The difficulty is that gap junctions require an instantaneous interaction between the coupled neurons, whereas the efficiency of simulation codes for spiking neurons relies on delayed communication. In a recent paper [15] we describe a technology to overcome this obstacle. Here, we give an overview of the challenges to include gap junctions into a distributed simulation scheme for neuronal networks and present an implementation of the new technology available in the NEural Simulation Tool (NEST 2.10.0). Subsequently we introduce the usage of gap junctions in model scripts as well as benchmarks assessing the performance and overhead of the technology on the supercomputers JUQUEEN and K computer.
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000825758 536__ $$0G:(EU-Grant)720270$$aHBP SGA1 - Human Brain Project Specific Grant Agreement 1 (720270)$$c720270$$fH2020-Adhoc-2014-20$$x3
000825758 536__ $$0G:(DE-Juel1)jinb33_20121101$$aBrain-Scale Simulations (jinb33_20121101)$$cjinb33_20121101$$fBrain-Scale Simulations$$x4
000825758 536__ $$0G:(DE-Juel1)hwu12_20141101$$aScalable solvers for linear systems and time-dependent problems (hwu12_20141101)$$chwu12_20141101$$fScalable solvers for linear systems and time-dependent problems$$x5
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000825758 7001_ $$0P:(DE-Juel1)144806$$aHelias, Moritz$$b1$$ufzj
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000825758 7001_ $$0P:(DE-HGF)0$$aIgarashi, Jun$$b3
000825758 7001_ $$0P:(DE-HGF)0$$aKitayama, Itaru$$b4
000825758 7001_ $$0P:(DE-Juel1)132302$$aWylie, Brian$$b5$$ufzj
000825758 7001_ $$0P:(DE-HGF)0$$aBolten, Matthias$$b6
000825758 7001_ $$0P:(DE-HGF)0$$aFrommer, Andreas$$b7
000825758 7001_ $$0P:(DE-Juel1)144174$$aDiesmann, Markus$$b8$$ufzj
000825758 773__ $$a10.1007/978-3-319-50862-7_4
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