Multi-input silicon neuron with weighting adaptation

Ming Ze Li*, Ping Wang Po, Kea Tiong Tang, Wai-Chi  Fang

*Corresponding author for this work

研究成果: Conference contribution同行評審

摘要

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.

原文English
主出版物標題2009 IEEE/NIH Life Science Systems and Applications Workshop, LiSSA 2009
頁面194-197
頁數4
DOIs
出版狀態Published - 23 七月 2009
事件2009 IEEE/NIH Life Science Systems and Applications Workshop, LiSSA 2009 - Bethesda, MD, United States
持續時間: 9 四月 200910 四月 2009

出版系列

名字2009 IEEE/NIH Life Science Systems and Applications Workshop, LiSSA 2009

Conference

Conference2009 IEEE/NIH Life Science Systems and Applications Workshop, LiSSA 2009
國家United States
城市Bethesda, MD
期間9/04/0910/04/09

指紋 深入研究「Multi-input silicon neuron with weighting adaptation」主題。共同形成了獨特的指紋。

引用此