@inproceedings{483d8fedaa424f76857c566799c25333,
title = "Multi-input silicon neuron with weighting adaptation",
abstract = "This paper presents a biologically inspired {"}integrate-and-fire (I&F) neuron{"} which has multiple input dendrites for adaptive weight storage. By using a capacitor-free integrator, longer time constant and smaller chip area can be achieved. A low-power Schmitt Trigger is used to implement the feedback loop to achieve smaller power consumption. Weights are stored by using floating gate MOS transistors as nonvolatile analog memory. Simulation results show that this I&F neuron can be utilized in an analog VLSI neural network system.",
author = "Li, {Ming Ze} and Po, {Ping Wang} and Tang, {Kea Tiong} and Wai-Chi Fang",
year = "2009",
month = jul,
day = "23",
doi = "10.1109/LISSA.2009.4906744",
language = "English",
isbn = "9781424442935",
series = "2009 IEEE/NIH Life Science Systems and Applications Workshop, LiSSA 2009",
pages = "194--197",
booktitle = "2009 IEEE/NIH Life Science Systems and Applications Workshop, LiSSA 2009",
note = "2009 IEEE/NIH Life Science Systems and Applications Workshop, LiSSA 2009 ; Conference date: 09-04-2009 Through 10-04-2009",
}