HOME News Paper in press: Fast and energy-efficient neuromorphic deep learning with first-spike times

Paper in press: Fast and energy-efficient neuromorphic deep learning with first-spike times

Our article "Fast and energy-efficient neuromorphic deep learning with first-spike times" was just published in the September issue of Nature Machine Intelligence. You can read it for a limited time with the author link, or check out the arXiv version.

In the same issue Charlotte Frenkel published a 'News & Views' article promoting our work.

Last update of this page: 2021-09-17 by Julian Göltz
MENU / NAVIGATION
LEGAL

Copyright
Impressum
Datenschutzerklärung


FINDING US

European Institute for Neuromorphic Computing
Im Neuenheimer Feld 225a
69120 Heidelberg
Germany

CONTACT

Electronic Visions Group – Prof. Dr. Johannes Schemmel
phone: +49 6221 54 9849
fax: +49 6221 54 9839
email: schemmel(at)ziti.uni-heidelberg.de
(All applications only via 'Open Positions')