Fine-tuning with local learning rules helps to compress and accelerate spiking neural networks without accuracy loss
Crossref DOI link: https://doi.org/10.1007/s00521-022-07513-w
Published Online: 2022-09-10
Published Print: 2022-12
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Nekhaev, D. V.
Demin, V. A.
Funding for this research was provided by:
RFBR (18-29-23041\20)
Text and Data Mining valid from 2022-09-10
Version of Record valid from 2022-09-10
Article History
Received: 1 April 2022
Accepted: 7 June 2022
First Online: 10 September 2022
Declarations
:
: Authors declare no conflict of interest.