Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Kungl, A. F."'
Autor:
Billaudelle, Sebastian, Stradmann, Yannik, Schreiber, Korbinian, Cramer, Benjamin, Baumbach, Andreas, Dold, Dominik, Göltz, Julian, Kungl, Akos F., Wunderlich, Timo C., Hartel, Andreas, Müller, Eric, Breitwieser, Oliver, Mauch, Christian, Kleider, Mitja, Grübl, Andreas, Stöckel, David, Pehle, Christian, Heimbrecht, Arthur, Spilger, Philipp, Kiene, Gerd, Karasenko, Vitali, Senn, Walter, Petrovici, Mihai A., Schemmel, Johannes, Meier, Karlheinz
We present first experimental results on the novel BrainScaleS-2 neuromorphic architecture based on an analog neuro-synaptic core and augmented by embedded microprocessors for complex plasticity and experiment control. The high acceleration factor of
Externí odkaz:
http://arxiv.org/abs/1912.12980
Publikováno v:
Artificial Neural Networks and Machine Learning - ICANN 2019: Theoretical Neural Computation. ICANN 2019. Lecture Notes in Computer Science, vol 11727. Springer, Cham
Future developments in artificial intelligence will profit from the existence of novel, non-traditional substrates for brain-inspired computing. Neuromorphic computers aim to provide such a substrate that reproduces the brain's capabilities in terms
Externí odkaz:
http://arxiv.org/abs/1909.11145
Autor:
Wunderlich, Timo, Kungl, Akos F., Müller, Eric, Hartel, Andreas, Stradmann, Yannik, Aamir, Syed Ahmed, Grübl, Andreas, Heimbrecht, Arthur, Schreiber, Korbinian, Stöckel, David, Pehle, Christian, Billaudelle, Sebastian, Kiene, Gerd, Mauch, Christian, Schemmel, Johannes, Meier, Karlheinz, Petrovici, Mihai A.
Neuromorphic devices represent an attempt to mimic aspects of the brain's architecture and dynamics with the aim of replicating its hallmark functional capabilities in terms of computational power, robust learning and energy efficiency. We employ a s
Externí odkaz:
http://arxiv.org/abs/1811.03618
Autor:
Dold, Dominik, Bytschok, Ilja, Kungl, Akos F., Baumbach, Andreas, Breitwieser, Oliver, Senn, Walter, Schemmel, Johannes, Meier, Karlheinz, Petrovici, Mihai A.
Publikováno v:
Neural Networks 119C (2019) pp. 200-213
An increasing body of evidence suggests that the trial-to-trial variability of spiking activity in the brain is not mere noise, but rather the reflection of a sampling-based encoding scheme for probabilistic computing. Since the precise statistical p
Externí odkaz:
http://arxiv.org/abs/1809.08045
Autor:
Kungl, Akos F., Schmitt, Sebastian, Klähn, Johann, Müller, Paul, Baumbach, Andreas, Dold, Dominik, Kugele, Alexander, Gürtler, Nico, Leng, Luziwei, Müller, Eric, Koke, Christoph, Kleider, Mitja, Mauch, Christian, Breitwieser, Oliver, Güttler, Maurice, Husmann, Dan, Husmann, Kai, Ilmberger, Joscha, Hartel, Andreas, Karasenko, Vitali, Grübl, Andreas, Schemmel, Johannes, Meier, Karlheinz, Petrovici, Mihai A.
Publikováno v:
Frontiers in Neuroscience - Neuromorphic Engineering, 14 November 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:
http://arxiv.org/abs/1807.02389
Publikováno v:
In Cold Regions Science and Technology September 2020 177
Autor:
Dold, Dominik, Bytschok, Ilja, Kungl, Akos F., Baumbach, Andreas, Breitwieser, Oliver, Senn, Walter, Schemmel, Johannes, Meier, Karlheinz, Petrovici, Mihai A.
Publikováno v:
In Neural Networks November 2019 119:200-213
Akademický článek
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Autor:
Kungl, Akos F., Dold, Dominik, Baumbach, Andreas, Breitwieser, Oliver, Bytschok, Ilja, Grübl, Andreas, Gürtler, Nico, Güttler, Maurice, Hartel, Andreas, Husmann, Dan, Husmann, Kai, Karasenko, Vitali, Klähn, Johann, Kleider, Mitja, Koke, Christoph, Kugele, Alexander, Leng, Luziwei, Mauch, Christian, Müller, Eric, Müller, Paul, Schmitt, Sebastian, Meier, Karlheinz, Schemmel, Johannes, Senn, Walter, Petrovici, Mihai A.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::462f365171dabdf4b8b3252b8fd0dfba