@inproceedings{cae8cd501cc34df998848d33d1161a88,
title = "Expandable Neuron Cell with Current-Steering DAC for Deep-Learning",
abstract = "For the past few years, AI and deep-learning got a second wind in the development of Brain neuroscience and Big data. In this paper, we describe an analog neuron model by using current-steering DAC circuit which uses analog circuits simulate the internal architecture of the neuron: Dendrites, axon, synapses and soma. The architecture we propose can achieve most of the network architecture, and the expandable neuron architecture that the hardware architecture can be adjusted according to the size of the system for better energy efficiency.",
keywords = "Analog Neuron Model, Current-steering DAC, Deep-Learning",
author = "Lo, {Yu Fan} and Liu, {Ming Jie} and Shiue, {Muh Tian}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 8th International Conference on Innovation, Communication and Engineering, ICICE 2019 ; Conference date: 25-10-2019 Through 30-10-2019",
year = "2019",
month = oct,
doi = "10.1109/ICICE49024.2019.9117532",
language = "???core.languages.en_GB???",
series = "Proceedings of the 2019 8th International Conference on Innovation, Communication and Engineering, ICICE 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "174--177",
editor = "Shoou-Jinn Chang and Sheng-Joue Young and Lam, {Artde Donald Kin-Tak} and Liang-Wen Ji and Hao-Ying Lu and Prior, {Stephen D.}",
booktitle = "Proceedings of the 2019 8th International Conference on Innovation, Communication and Engineering, ICICE 2019",
}
