A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems

scientific article

A comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems is …
instance of (P31):
scholarly articleQ13442814

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P818arXiv ID1011.2861
P8978DBLP publication IDjournals/bc/BruderlePVEPMGWMSOJFSMBPMDKKLMPSZMDDPLSSM11
P6179Dimensions Publication ID1049617056
P356DOI10.1007/S00422-011-0435-9
P2888exact matchhttps://scigraph.springernature.com/pub.10.1007/s00422-011-0435-9
P698PubMed publication ID21618053
P5875ResearchGate publication ID51170410

P50authorKarlheinz MeierQ15446374
Lyle E. MullerQ56984533
Mikael LundqvistQ56984552
Andrew P DavisonQ57082254
Eilif MullerQ89857211
Johannes PartzschQ92744002
Christian MayrQ114588835
Johannes SchemmelQ39823154
Anders LansnerQ41044263
Markus DiesmannQ41045612
Alain DestexheQ41051264
Jens KremkowQ41862810
Mihai A PetroviciQ51035652
P2093author name stringPaul Müller
Oliver Breitwieser
Tobias C Potjans
Daniel Brüderle
Thomas Pfeil
Bernhard Vogginger
Stefan Scholze
Eric Müller
Andreas Grübl
Dan Husmann de Oliveira
Johannes Fieres
Karsten Wendt
Lukas Zühl
Marc-Olivier Schwartz
Matthias Ehrlich
Moritz Schilling
Pradeep Krishnamurthy
René Schüffny
Sebastian Jeltsch
Sebastian Millner
Venelin Petkov
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P433issue4-5
P921main subjectworkflowQ627335
P304page(s)263-296
P577publication date2011-05-27
P1433published inBiological CyberneticsQ15766256
P1476titleA comprehensive workflow for general-purpose neural modeling with highly configurable neuromorphic hardware systems
P478volume104

Reverse relations

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Q41527343Binary Associative Memories as a Benchmark for Spiking Neuromorphic Hardware
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