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Fast and energy-efficient neuromorphic deep learning with first-spike times.

J. Göltz, L. Kriener, A. Baumbach, S. Billaudelle, O. Breitwieser, B. Cramer, D. Dold, Á. Kungl, W. Senn, J. Schemmel, K. Meier, and M. Petrovici. Nat. Mach. Intell., 3 (9): 823-835 (2021)

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Gerhard Göltz

Dietlinde Goltz

Lothar Goltz

Konrad Goltz

Elke Goltz

Other publications of authors with the same name

The Yin-Yang dataset.L. Kriener, J. Göltz, and M. Petrovici. CoRR, (2021)Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate.S. Billaudelle, Y. Stradmann, K. Schreiber, B. Cramer, A. Baumbach, D. Dold, J. Göltz, Á. Kungl, T. Wunderlich, A. Hartel and 15 other author(s). ISCAS, page 1-5. IEEE, (2020)A Scalable Approach to Modeling on Accelerated Neuromorphic Hardware.E. Müller, E. Arnold, O. Breitwieser, M. Czierlinski, A. Emmel, J. Kaiser, C. Mauch, S. Schmitt, P. Spilger, R. Stock and 13 other author(s). CoRR, (2022)Lu.i - A low-cost electronic neuron for education and outreach.Y. Stradmann, J. Göltz, M. Petrovici, J. Schemmel, and S. Billaudelle. CoRR, (2024)Fast and deep neuromorphic learning with time-to-first-spike coding.J. Göltz, A. Baumbach, S. Billaudelle, O. Breitwieser, D. Dold, L. Kriener, Á. Kungl, W. Senn, J. Schemmel, K. Meier and 1 other author(s). CoRR, (2019)Versatile emulation of spiking neural networks on an accelerated neuromorphic substrate.S. Billaudelle, Y. Stradmann, K. Schreiber, B. Cramer, A. Baumbach, D. Dold, J. Göltz, Á. Kungl, T. Wunderlich, A. Hartel and 15 other author(s). CoRR, (2019)DelGrad: Exact gradients in spiking networks for learning transmission delays and weights.J. Göltz, J. Weber, L. Kriener, P. Lake, M. Payvand, and M. Petrovici. CoRR, (2024)Fast and deep neuromorphic learning with first-spike coding.J. Göltz, A. Baumbach, S. Billaudelle, Á. Kungl, O. Breitwieser, K. Meier, J. Schemmel, L. Kriener, and M. Petrovici. NICE, page 14:1-14:3. ACM, (2020)Postponed due to the Covid-19 pandemic..Fast and energy-efficient neuromorphic deep learning with first-spike times.J. Göltz, L. Kriener, A. Baumbach, S. Billaudelle, O. Breitwieser, B. Cramer, D. Dold, Á. Kungl, W. Senn, J. Schemmel and 2 other author(s). Nat. Mach. Intell., 3 (9): 823-835 (2021)Live Demonstration: Versatile Emulation of Spiking Neural Networks on an Accelerated Neuromorphic Substrate.S. Billaudelle, Y. Stradmann, K. Schreiber, B. Cramer, A. Baumbach, D. Dold, J. Göltz, Á. Kungl, T. Wunderlich, A. Hartel and 15 other author(s). ISCAS, page 1. IEEE, (2020)

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Disambiguation of "Göltz, Julian"

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Fast and energy-efficient neuromorphic deep learning with first-spike times.

Please choose a person to relate this publication to

Gerhard Göltz

Dietlinde Goltz

Lothar Goltz

Konrad Goltz

Elke Goltz

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Göltz, Julian"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Fast and energy-efficient neuromorphic deep learning with first-spike times.

Please choose a person to relate this publication to

Gerhard Göltz

Dietlinde Goltz

Lothar Goltz

Konrad Goltz

Elke Goltz

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
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history of this post
URL
DOI
BibTeX
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APA
Chicago
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Fast and energy-efficient neuromorphic deep learning with first-spike times.