Zobrazeno 1 - 10
of 41
pro vyhledávání: '"Gruebl, Andreas"'
Autor:
Schmidt, Hartmut, Montes, José, Grübl, Andreas, Güttler, Maurice, Husmann, Dan, Ilmberger, Joscha, Kaiser, Jakob, Mauch, Christian, Müller, Eric, Sterzenbach, Lars, Schemmel, Johannes, Schmitt, Sebastian
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 dynamics
Externí odkaz:
http://arxiv.org/abs/2303.12359
Autor:
Thommes, Tobias, Bordukat, Sven, Grübl, Andreas, Karasenko, Vitali, Müller, Eric, Schemmel, Johannes
The BrainScaleS-2 (BSS-2) Neuromorphic Computing System currently consists of multiple single-chip setups, which are connected to a compute cluster via Gigabit-Ethernet network technology. This is convenient for small experiments, where the neural ne
Externí odkaz:
http://arxiv.org/abs/2202.12122
Autor:
Thommes, Tobias, Buwen, Niels, Grübl, Andreas, Müller, Eric, Brüning, Ulrich, Schemmel, Johannes
The BrainScaleS Neuromorphic Computing System is currently connected to a compute cluster via Gigabit-Ethernet network technology. This is convenient for the currently used experiment mode, where neuronal networks cover at most one wafer module. When
Externí odkaz:
http://arxiv.org/abs/2111.15296
Autor:
Weis, Johannes, Spilger, Philipp, Billaudelle, Sebastian, Stradmann, Yannik, Emmel, Arne, Müller, Eric, Breitwieser, Oliver, Grübl, Andreas, Ilmberger, Joscha, Karasenko, Vitali, Kleider, Mitja, Mauch, Christian, Schreiber, Korbinian, Schemmel, Johannes
The neuromorphic BrainScaleS-2 ASIC comprises mixed-signal neurons and synapse circuits as well as two versatile digital microprocessors. Primarily designed to emulate spiking neural networks, the system can also operate in a vector-matrix multiplica
Externí odkaz:
http://arxiv.org/abs/2006.13177
Autor:
Cramer, Benjamin, Billaudelle, Sebastian, Kanya, Simeon, Leibfried, Aron, Grübl, Andreas, Karasenko, Vitali, Pehle, Christian, Schreiber, Korbinian, Stradmann, Yannik, Weis, Johannes, Schemmel, Johannes, Zenke, Friedemann
To rapidly process temporal information at a low metabolic cost, biological neurons integrate inputs as an analog sum but communicate with spikes, binary events in time. Analog neuromorphic hardware uses the same principles to emulate spiking neural
Externí odkaz:
http://arxiv.org/abs/2006.07239
Autor:
Müller, Eric, Schmitt, Sebastian, Mauch, Christian, Billaudelle, Sebastian, Grübl, Andreas, Güttler, Maurice, Husmann, Dan, Ilmberger, Joscha, Jeltsch, Sebastian, Kaiser, Jakob, Klähn, Johann, Kleider, Mitja, Koke, Christoph, Montes, José, Müller, Paul, Partzsch, Johannes, Passenberg, Felix, Schmidt, Hartmut, Vogginger, Bernhard, Weidner, Jonas, Mayr, Christian, Schemmel, Johannes
BrainScaleS-1 is a wafer-scale mixed-signal accelerated neuromorphic system targeted for research in the fields of computational neuroscience and beyond-von-Neumann computing. The BrainScaleS Operating System (BrainScaleS OS) is a software stack givi
Externí odkaz:
http://arxiv.org/abs/2003.13749
Autor:
Grübl, Andreas, Billaudelle, Sebastian, Cramer, Benjamin, Karasenko, Vitali, Schemmel, Johannes
This paper presents verification and implementation methods that have been developed for the design of the BrainScaleS-2 65nm ASICs. The 2nd generation BrainScaleS chips are mixed-signal devices with tight coupling between full-custom analog neuromor
Externí odkaz:
http://arxiv.org/abs/2003.11455
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
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:
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