Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Dan Husmann"'
Autor:
Yannik Stradmann, Sebastian Billaudelle, Oliver Breitwieser, Falk Leonard Ebert, Arne Emmel, Dan Husmann, Joscha Ilmberger, Eric Muller, Philipp Spilger, Johannes Weis, Johannes Schemmel
Publikováno v:
IEEE Open Journal of Circuits and Systems, Vol 3, Pp 252-262 (2022)
We present the BrainScaleS-2 mobile system as a compact analog inference engine based on the BrainScaleS-2 ASIC and demonstrate its capabilities at classifying a medical electrocardiogram dataset. The analog network core of the ASIC is utilized to pe
Externí odkaz:
https://doaj.org/article/d495989d03f947269a016276ec69894f
Autor:
Hartmut Schmidt, José Montes, Andreas Grübl, Maurice Güttler, Dan Husmann, Joscha Ilmberger, Jakob Kaiser, Christian Mauch, Eric Müller, Lars Sterzenbach, Johannes Schemmel, Sebastian Schmitt
Publikováno v:
Neuromorphic Computing and Engineering, Vol 3, Iss 3, p 034013 (2023)
The first-generation of BrainScaleS, also referred to as BrainScaleS-1, is a neuromorphic system for emulating large-scale networks of spiking neurons. Following a ‘physical modeling’ principle, its VLSI circuits are designed to emulate the dynam
Externí odkaz:
https://doaj.org/article/d8b25cf9d6d34825a19dc808bcbf42ec
Autor:
Akos F. Kungl, Sebastian Schmitt, Johann Klähn, Paul Müller, Andreas Baumbach, Dominik Dold, Alexander Kugele, Eric Müller, Christoph Koke, Mitja Kleider, Christian Mauch, Oliver Breitwieser, Luziwei Leng, Nico Gürtler, Maurice Güttler, Dan Husmann, Kai Husmann, Andreas Hartel, Vitali Karasenko, Andreas Grübl, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2019)
The massively parallel nature of biological information processing plays an important role due to its superiority in comparison to human-engineered computing devices. In particular, it may hold the key to overcoming the von Neumann bottleneck that li
Externí odkaz:
https://doaj.org/article/02f287aab1c848de9460f647e80dcfb9
Autor:
Brüderle, Daniel, Petrovici, Mihai A., Vogginger, Bernhard, Ehrlich, Matthias, Pfeil, Thomas, Millner, Sebastian, Grübl, Andreas, Wendt, Karsten, Müller, Eric, Schwartz, Marc-Olivier, de Oliveira, Dan Husmann, Jeltsch, Sebastian, Fieres, Johannes, Schilling, Moritz, Müller, Paul, Breitwieser, Oliver, Petkov, Venelin, Muller, Lyle, Davison, Andrew P., Krishnamurthy, Pradeep, Kremkow, Jens, Lundqvist, Mikael, Muller, Eilif, Partzsch, Johannes, Scholze, Stefan, Zühl, Lukas, Mayr, Christian, Destexhe, Alain, Diesmann, Markus, Potjans, Tobias C., Lansner, Anders, Schüffny, René, Schemmel, Johannes, Meier, Karlheinz
Publikováno v:
Biol Cybern. 2011 May;104(4-5):263-96
In this paper we present a methodological framework that meets novel requirements emerging from upcoming types of accelerated and highly configurable neuromorphic hardware systems. We describe in detail a device with 45 million programmable and dynam
Externí odkaz:
http://arxiv.org/abs/1011.2861
Autor:
Yannik Stradmann, Sebastian Billaudelle, Oliver Breitwieser, Falk Leonard Ebert, Arne Emmel, Dan Husmann, Joscha Ilmberger, Eric Muller, Philipp Spilger, Johannes Weis, Johannes Schemmel
Publikováno v:
IEEE Open Journal of Circuits and Systems
We present the BrainScaleS-2 mobile system as a compact analog inference engine based on the BrainScaleS-2 ASIC and demonstrate its capabilities at classifying a medical electrocardiogram dataset. The analog network core of the ASIC is utilized to pe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::934bf11279afbbbcfddb9c3f6eb9c5bb
Autor:
Johannes Schemmel, Kai Zoschke, Maurice Güttler, Andreas Grübl, Oswin Ehrmann, Lars Bottcher, Dan Husmann, K. Meier
Together with the Kirchhoff-Institute for Physics(KIP) the Fraunhofer IZM has developed a full wafer redistribution and embedding technology as base for a large-scale neuromorphic hardware system. The paper will give an overview of the neuromorphic c
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::240b17ccab977ae63270f55875f90ded
http://arxiv.org/abs/1801.04734
http://arxiv.org/abs/1801.04734
Autor:
Akos F. Kungl, Sebastian Schmitt, Johann Klähn, Paul Müller, Andreas Baumbach, Dominik Dold, Alexander Kugele, Eric Müller, Christoph Koke, Mitja Kleider, Christian Mauch, Oliver Breitwieser, Luziwei Leng, Nico Gürtler, Maurice Güttler, Dan Husmann, Kai Husmann, Andreas Hartel, Vitali Karasenko, Andreas Grübl, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici
Publikováno v:
Frontiers in Neuroscience, Vol 13 (2019)
The massively parallel nature of biological information processing plays an important role for its superiority to human-engineered computing devices. In particular, it may hold the key to overcoming the von Neumann bottleneck that limits contemporary
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a48167fb5a55d96c25c46f929e4fdc42
Autor:
Andreas Hartel, Mihai A. Petrovici, Guillaume Bellec, Johannes Partzsch, Johannes Schemmel, Maurice Güttler, Mitja Kleider, Vitali Karasenko, Wolfgang Maass, Sebastian Jeltsch, Karlheinz Meier, Stefan Schiefer, Andreas Grübl, V. Thanasoulis, Eric Müller, Robert Legenstein, Bernhard Vogginger, Christian Mauch, Paul Müller, Stephan Hartmann, Rene Schuffny, Christian Mayr, Sebastian Schmitt, Alexander Kononov, Dan Husmann, Stefan Scholze, Christoph Koke, Johann Klähn, Kai Husmann
Publikováno v:
IJCNN
Emulating spiking neural networks on analog neuromorphic hardware offers several advantages over simulating them on conventional computers, particularly in terms of speed and energy consumption. However, this usually comes at the cost of reduced cont
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0f401ef79a80b864fab07f3542f59249
http://arxiv.org/abs/1703.01909
http://arxiv.org/abs/1703.01909
Autor:
D. Stockel, Ilja Bytschok, Dan Husmann, Mihai A. Petrovici, Johannes Bill, Johannes Schemmel, Maurice Güttler, Karlheinz Meier, Oliver Breitwieser, Wolfgang Maass, Robert Legenstein, Eric Müller, Johannes Partzsch, Anand Subramoney, Christian Mayr, Andreas Hartel, Anna Schroeder, Stephan Hartmann, Andreas Grübl, Alexander Kononov, Stefan Schiefer, Kai Husmann, Guillaume Bellec, Mitja Kleider, Johann Klähn, Stefan Scholze, Vitali Karasenko, Sebastian Schmitt, V. Thanasoulis, Christian Mauch, Paul Müller, Rene Schuffny, Bernhard Vogginger, Sebastian Jeltsch, Christoph Koke, Thomas Pfeil
Publikováno v:
ISCAS
Despite being originally inspired by the central nervous system, artificial neural networks have diverged from their biological archetypes as they have been remodeled to fit particular tasks. In this paper, we review several possibilites to reverse m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::31acee2b3d44a20d0195408da94fcd42
Autor:
Daniel Brüderle, Sebastian Millner, Tobias C. Potjans, J. Fieres, Sebastian Jeltsch, Bernhard Vogginger, Dan Husmann de Oliveira, Thomas Pfeil, Andrew P. Davison, Andreas Grübl, Mihai A. Petrovici, Eric Müller, Johannes Schemmel, Anders Lansner, Pradeep Krishnamurthy, Jens Kremkow, Karlheinz Meier, Paul Müller, Matthias Ehrlich, Rene Schuffny, Lyle Muller, Johannes Partzsch, Marc-Olivier Schwartz, Markus Diesmann, Moritz Schilling, Lukas Zühl, Eilif Muller, Oliver Breitwieser, Karsten Wendt, Mikael Lundqvist, Venelin Petkov, Alain Destexhe, Christian Mayr, Stefan Scholze
Publikováno v:
Biological Cybernetics (Modeling)
Biological Cybernetics (Modeling), Springer Verlag, 2011, 104 (4-5), pp.263-96. ⟨10.1007/s00422-011-0435-9⟩
Biological Cybernetics (Modeling), Springer Verlag, 2011, 104 (4-5), pp.263-96. ⟨10.1007/s00422-011-0435-9⟩
International audience; In this article, we present a methodological framework that meets novel requirements emerging from upcoming types of accelerated and highly configurable neuromorphic hardware systems. We describe in detail a device with 45 mil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::500a8f20e63ca937547a4f89a367dc45
https://pubmed.ncbi.nlm.nih.gov/21618053
https://pubmed.ncbi.nlm.nih.gov/21618053