Benchmarking Deep Spiking Neural Networks on Neuromorphic Hardware

Autor: Ostrau, Christoph, Homburg, Jonas, Klarhorst, Christian, Thies, Michael, Rückert, Ulrich

Publikováno v: Farka\v{s} I., Masulli P., Wermter S. (eds) Artificial Neural Networks and Machine Learning -- ICANN 2020. ICANN 2020. Lecture Notes in Computer Science, vol 12397

With more and more event-based neuromorphic hardware systems being developed at universities and in industry, there is a growing need for assessing their performance with domain specific measures. In this work, we use the methodology of converting pr

Externí odkaz: http://arxiv.org/abs/2004.01656

Zoo Nuremberg Dolphin Lagoon.

Autor: Homburg, Jonas

Publikováno v: Zoo's Print; Oct2016, Vol. 31 Issue 10, p31-36, 6p

Constraint Exploration of Convolutional Network Architectures with Neuroevolution

Autor: Homburg, Jonas Dominik, Adams, Michael, Thies, Michael, Korthals, Timo, Hesse, Marc, Rückert, Ulrich, Rojas, Ignacio, Joya, Gonzalo, Catala, Andreu

Publikováno v: Lecture Notes in Computer Science
Lecture Notes in Computer Science-Advances in Computational Intelligence
Advances in Computational Intelligence-15th International Work-Conference on Artificial Neural Networks, IWANN 2019, Gran Canaria, Spain, June 12-14, 2019, Proceedings, Part II
Advances in Computational Intelligence ISBN: 9783030205171
IWANN (2)

The effort spent on adapting existing networks to new applications has motivated the automated architecture search. Network structures discovered with evolutionary or other search algorithms have surpassed hand-crafted image classifiers in terms of a

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6420e549e22817b2597a2f4134ee955a