Scholars@Duke

SpikeSen: Low-Latency In-Sensor-Intelligence Design With Neuromorphic Spiking Neurons

Publication ,  Journal Article
Li, Z; Zheng, Q; Chen, Y; Li, H
Published in: IEEE Transactions on Circuits and Systems II: Express Briefs
June 1, 2023
Published version (DOI)

In-sensor-processing (ISP) paradigm has been exploited in state-of-the-art vision system designs to pave the way towards power-efficient sensing and processing. The redundant data transmission between sensors and processors is significantly minimized by local computation within each pixel. However, existing ISP designs suffer from limited frame rates and degraded fill factors. In this brief, we introduce a low-latency in-sensor-intelligence neuromorphic vision system using neuromorphic spiking neurons, namely SpikeSen. SpikeSen directly operates on the photocurrents and executes the computation in the frequency domain, reducing the long exposure time and speeding up the computation. Experiments show that SpikeSen can achieve more than 6.1 × computation speedup compared to existing ISP designs with competitive energy consumption per pixel.

Duke Scholars

Hai "Helen" Li
Author Hai "Helen" Li Electrical and Computer Engineering
Yiran Chen
Author Yiran Chen Electrical and Computer Engineering

Published In

IEEE Transactions on Circuits and Systems II: Express Briefs

DOI

10.1109/TCSII.2023.3235888

EISSN

1558-3791

ISSN

1549-7747

Publication Date

June 1, 2023

Volume

70

Issue

6

Start / End Page

1876 / 1880

Related Subject Headings

  • Electrical & Electronic Engineering
  • 4009 Electronics, sensors and digital hardware
  • 4006 Communications engineering
  • 0906 Electrical and Electronic Engineering
 

Citation

APA
Chicago
ICMJE
MLA
NLM
Li, Z., Zheng, Q., Chen, Y., & Li, H. (2023). SpikeSen: Low-Latency In-Sensor-Intelligence Design With Neuromorphic Spiking Neurons. IEEE Transactions on Circuits and Systems II: Express Briefs, 70(6), 1876–1880. https://doi.org/10.1109/TCSII.2023.3235888
Li, Z., Q. Zheng, Y. Chen, and H. Li. “SpikeSen: Low-Latency In-Sensor-Intelligence Design With Neuromorphic Spiking Neurons.” IEEE Transactions on Circuits and Systems II: Express Briefs 70, no. 6 (June 1, 2023): 1876–80. https://doi.org/10.1109/TCSII.2023.3235888.
Li Z, Zheng Q, Chen Y, Li H. SpikeSen: Low-Latency In-Sensor-Intelligence Design With Neuromorphic Spiking Neurons. IEEE Transactions on Circuits and Systems II: Express Briefs. 2023 Jun 1;70(6):1876–80.
Li, Z., et al. “SpikeSen: Low-Latency In-Sensor-Intelligence Design With Neuromorphic Spiking Neurons.” IEEE Transactions on Circuits and Systems II: Express Briefs, vol. 70, no. 6, June 2023, pp. 1876–80. Scopus, doi:10.1109/TCSII.2023.3235888.
Li Z, Zheng Q, Chen Y, Li H. SpikeSen: Low-Latency In-Sensor-Intelligence Design With Neuromorphic Spiking Neurons. IEEE Transactions on Circuits and Systems II: Express Briefs. 2023 Jun 1;70(6):1876–1880.

Published In

IEEE Transactions on Circuits and Systems II: Express Briefs

DOI

10.1109/TCSII.2023.3235888

EISSN

1558-3791

ISSN

1549-7747

Publication Date

June 1, 2023

Volume

70

Issue

6

Start / End Page

1876 / 1880

Related Subject Headings

  • Electrical & Electronic Engineering
  • 4009 Electronics, sensors and digital hardware
  • 4006 Communications engineering
  • 0906 Electrical and Electronic Engineering