A 28nm Energy-efficient Asynchronous SNN Accelerator with On-chip Learning for Gas Recognition

Author:

Huo Dexuan1,Zhang Jilin1,Zhang Jian1,Chen Hong1

Affiliation:

1. Tsinghua University,School of Integrated Circuits

Funder

National Science and Technology Major Project

National Natural Science Foundation of China

Publisher

IEEE

Reference19 articles.

1. Design of a 0.5 v 1.68 mW nose-on-a-chip for rapid screen of chronic obstructive pulmonary disease;chou;Biomedical Circuits and Systems Conf (BioCAS) 2016 IEEE,0

2. 24.5 A 0.5 V 1.27 mW nose-on-a-chip for rapid diagnosis of ventilator-associated pneumonia;tang;in 2014 IEEE International Solid-State Circuits Conference Digest of Technical Papers (ISSCC) 2014 IEEE,0

3. On the performance of gas sensor arrays in open sampling systems using Inhibitory Support Vector Machines

4. Rapid online learning and robust recall in a neuromorphic olfactory circuit

5. A Low-Power Electronic Nose Signal-Processing Chip for a Portable Artificial Olfaction System

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