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Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype.

Y. Yan, D. Kappel, F. Neumärker, J. Partzsch, B. Vogginger, S. Höppner, S. Furber, W. Maass, R. Legenstein, and C. Mayr. CoRR, (2019)

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Johannes Partzsch

Joachim Partzsch

Dieter Partzsch

Henriette Partzsch

Other publications of authors with the same name

The operating system of the neuromorphic BrainScaleS-1 system.E. Müller, S. Schmitt, C. Mauch, S. Billaudelle, A. Grübl, M. Güttler, D. Husmann, J. Ilmberger, S. Jeltsch, J. Kaiser and 12 other author(s). Neurocomputing, (2022)OTA based 200 GΩ resistance on 700 μm2 in 180 nm CMOS for neuromorphic applications.C. Mayr, M. Schultz, M. Noack, S. Henker, J. Partzsch, and R. Schüffny. CoRR, (2014)The Operating System of the Neuromorphic BrainScaleS-1 System.E. Müller, S. Schmitt, C. Mauch, S. Billaudelle, A. Grübl, M. Güttler, D. de Oliveira, J. Ilmberger, S. Jeltsch, J. Kaiser and 12 other author(s). CoRR, (2020)Low-Power Low-Latency Keyword Spotting and Adaptive Control with a SpiNNaker 2 Prototype and Comparison with Loihi.Y. Yan, T. Stewart, X. Choo, B. Vogginger, J. Partzsch, S. Höppner, F. Kelber, C. Eliasmith, S. Furber, and C. Mayr. CoRR, (2020)Deploying Machine Learning Models to Ahead-of-Time Runtime on Edge Using MicroTVM.C. Liu, M. Jobst, L. Guo, X. Shi, J. Partzsch, and C. Mayr. CoRR, (2023)ZEN: A flexible energy-efficient hardware classifier exploiting temporal sparsity in ECG data.M. Jobst, J. Partzsch, C. Liu, L. Guo, D. Walter, S. Rehman, S. Scholze, S. Höppner, and C. Mayr. AICAS, page 214-217. IEEE, (2022)Event-based Neural Network for ECG Classification with Delta Encoding and Early Stopping.M. Jobst, C. Liu, J. Partzsch, Y. Yan, D. Kappel, H. Gonzalez, Y. Ji, B. Vogginger, and C. Mayr. EBCCSP, page 1-4. IEEE, (2020)Live demonstration: Dynamic voltage and frequency scaling for neuromorphic many-core systems.S. Höppner, Y. Yan, B. Vogginger, A. Dixius, J. Partzsch, P. Joshi, F. Neumärker, S. Hartmann, S. Schiefer, S. Scholze and 10 other author(s). ISCAS, page 1. IEEE, (2017)Hardware-Efficient Ultrasonic Entrance Counting: Comparing Different Machine Learning Approaches.T. Langer, B. Waschneck, J. Partzsch, F. Kelber, and C. Mayr. ICPR, page 755-761. IEEE, (2022)Mapping Deep Neural Networks on SpiNNaker2.F. Kelber, B. Wu, B. Vogginger, J. Partzsch, C. Liu, M. Stolba, and C. Mayr. NICE, page 18:1-18:3. ACM, (2020)Postponed due to the Covid-19 pandemic..

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Disambiguation of "Partzsch, Johannes"

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Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype.

Please choose a person to relate this publication to

Johannes Partzsch

Johannes Partzsch

Joachim Partzsch

Dieter Partzsch

Henriette Partzsch

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Partzsch, Johannes"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype.

Please choose a person to relate this publication to

Johannes Partzsch

Johannes Partzsch

Joachim Partzsch

Dieter Partzsch

Henriette Partzsch

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
history of this post
URL
DOI
BibTeX
EndNote
APA
Chicago
DIN 1505
Harvard
MSOffice XML

Efficient Reward-Based Structural Plasticity on a SpiNNaker 2 Prototype.