"DeepTempo: A Hardware-Friendly Direct Feedback Alignment Multi-Layer ..."

Cong Shi et al. (2021)

> Home

Details and statistics

DOI: 10.1109/TCSII.2021.3063784

access: closed

type: Journal Article

metadata version: 2023-08-28

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/tcasII/ShiWHZLW21
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/tcasII/ShiWHZLW21
Cong Shi, Tengxiao Wang, Junxian He, Jianghao Zhang, Liyuan Liu, Nanjian Wu:
DeepTempo: A Hardware-Friendly Direct Feedback Alignment Multi-Layer Tempotron Learning Rule for Deep Spiking Neural Networks. IEEE Trans. Circuits Syst. II Express Briefs 68(5): 1581-1585 (2021)

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.