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pro vyhledávání: '"spiking neural network modeling"'
Autor:
Christian eNowke, Daniel eZielasko, Benjamin eWeyers, Bernd eHentschel, Alexander ePeyser, Torsten eKuhlen
Publikováno v:
Frontiers in Neuroinformatics, Vol 9 (2015)
Modeling large-scale spiking neural networks showing realistic biological behavior in their dynamics is a complex and tedious task. Since these networks consist of millions of interconnected neurons, their simulation produces an immense amount of dat
Externí odkaz:
https://doaj.org/article/8fc690b64e244510af6837ca435ca8c9
Autor:
Daniel Zielasko, Christian Nowke, Alexander Peyser, Torsten Kuhlen, Benjamin Weyers, Bernd Hentschel
Publikováno v:
Frontiers in Neuroinformatics, Vol 9 (2015)
Frontiers in neuroinformatics 9, 29 (2015). doi:10.3389/fninf.2015.00029
Frontiers in Neuroinformatics
Frontiers in neuroinformatics 9, 29 (2015). doi:10.3389/fninf.2015.00029
Frontiers in Neuroinformatics
Modeling large-scale spiking neural networks showing realistic biological behavior in their dynamics is a complex and tedious task. Since these networks consist of millions of interconnected neurons, their simulation produces an immense amount of dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81d056fd8067ae51b0038b707fd4a580
http://journal.frontiersin.org/Journal/10.3389/fninf.2015.00029/full
http://journal.frontiersin.org/Journal/10.3389/fninf.2015.00029/full
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