Zobrazeno 1 - 10
of 47
pro vyhledávání: '"Stradmann, Yannik"'
Autor:
Stradmann, Yannik, Göltz, Julian, Petrovici, Mihai A., Schemmel, Johannes, Billaudelle, Sebastian
With an increasing presence of science throughout all parts of society, there is a rising expectation for researchers to effectively communicate their work and, equally, for teachers to discuss contemporary findings in their classrooms. While the com
Externí odkaz:
http://arxiv.org/abs/2404.16664
Autor:
Schreiber, Korbinian, Wunderlich, Timo, Spilger, Philipp, Billaudelle, Sebastian, Cramer, Benjamin, Stradmann, Yannik, Pehle, Christian, Müller, Eric, Petrovici, Mihai A., Schemmel, Johannes, Meier, Karlheinz
Bees display the remarkable ability to return home in a straight line after meandering excursions to their environment. Neurobiological imaging studies have revealed that this capability emerges from a path integration mechanism implemented within th
Externí odkaz:
http://arxiv.org/abs/2401.00473
Autor:
Müller, Eric, Arnold, Elias, Breitwieser, Oliver, Czierlinski, Milena, Emmel, Arne, Kaiser, Jakob, Mauch, Christian, Schmitt, Sebastian, Spilger, Philipp, Stock, Raphael, Stradmann, Yannik, Weis, Johannes, Baumbach, Andreas, Billaudelle, Sebastian, Cramer, Benjamin, Ebert, Falk, Göltz, Julian, Ilmberger, Joscha, Karasenko, Vitali, Kleider, Mitja, Leibfried, Aron, Pehle, Christian, Schemmel, Johannes
Neuromorphic systems open up opportunities to enlarge the explorative space for computational research. However, it is often challenging to unite efficiency and usability. This work presents the software aspects of this endeavor for the BrainScaleS-2
Externí odkaz:
http://arxiv.org/abs/2203.11102
Autor:
Pehle, Christian, Billaudelle, Sebastian, Cramer, Benjamin, Kaiser, Jakob, Schreiber, Korbinian, Stradmann, Yannik, Weis, Johannes, Leibfried, Aron, Müller, Eric, Schemmel, Johannes
Since the beginning of information processing by electronic components, the nervous system has served as a metaphor for the organization of computational primitives. Brain-inspired computing today encompasses a class of approaches ranging from using
Externí odkaz:
http://arxiv.org/abs/2201.11063
Autor:
Stradmann, Yannik, Billaudelle, Sebastian, Breitwieser, Oliver, Ebert, Falk Leonard, Emmel, Arne, Husmann, Dan, Ilmberger, Joscha, Müller, Eric, Spilger, Philipp, Weis, Johannes, Schemmel, Johannes
Publikováno v:
in 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:
http://arxiv.org/abs/2103.15960
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:
Spilger, Philipp, Müller, Eric, Emmel, Arne, Leibfried, Aron, Mauch, Christian, Pehle, Christian, Weis, Johannes, Breitwieser, Oliver, Billaudelle, Sebastian, Schmitt, Sebastian, Wunderlich, Timo C., Stradmann, Yannik, Schemmel, Johannes
We present software facilitating the usage of the BrainScaleS-2 analog neuromorphic hardware system as an inference accelerator for artificial neural networks. The accelerator hardware is transparently integrated into the PyTorch machine learning fra
Externí odkaz:
http://arxiv.org/abs/2006.13138
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:
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
Spiking neural networks are the basis of versatile and power-efficient information processing in the brain. Although we currently lack a detailed understanding of how these networks compute, recently developed optimization techniques allow us to inst
Externí odkaz:
http://arxiv.org/abs/1910.07407