| Jahr | 2017 |
| Autor(en) | Friedmann, Schemmel, Grübl, Hartel, Hock, Meier |
| Titel | Demonstrating Hybrid Learning in a Flexible Neuromorphic Hardware System |
| KIP-Nummer | HD-KIP 17-106 |
| KIP-Gruppe(n) | F9 |
| Dokumentart | Paper |
| Keywords (angezeigt) | Biological system modeling;Correlation;Hardware;Mathematical model;Neuromorphics;Neurons;Digital signal processing;learning;neuromorphic hardware;spike-time dependent plasticity;synapse circuit |
| Quelle | IEEE Transactions on Biomedical Circuits and Systems |
| doi | 10.1109/TBCAS.2016.2579164 |
| bibtex | @article{friedmannschemmel2016hybridlearning,
author = {S. Friedmann and J. Schemmel and A. Gr\"ubl and A. Hartel and M. Hock and K. Meier},
title = {Demonstrating Hybrid Learning in a Flexible Neuromorphic Hardware System},
journal = {IEEE Transactions on Biomedical Circuits and Systems},
year = {2017},
volume = {11},
pages = {128-142},
doi = {10.1109/TBCAS.2016.2579164}
} |
