Using analogue VLSI leaky integrate-and-fire neurons in a sound analysis system.

被引：1

作者：

Glover, M ^{[1
]}

Hamilton, A ^{[1
]}

Smith, LS ^{[1
]}

机构：

[1] Univ Edinburgh, Dept Elect Engn, Edinburgh EH9 3JL, Midlothian, Scotland

来源：

PROCEEDINGS OF THE SEVENTH INTERNATIONAL CONFERENCE ON MICROELECTRONICS FOR NEURAL, FUZZY AND BIO-INSPIRED SYSTEMS, MICORNEURO'99 | 1999年

关键词：

D O I：

10.1109/MN.1999.758850

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Integrate-and-fire neurons are simple model neurons which can handle continuously time-varying signals. We have applied them to problems in real-time analysis of sounds. Two different chips have been built: the first had a fixed network architecture with all synaptic weights identical, and the second is reconfigurable. We present results characterising the latter chip, and results from processing real data from the earlier chip. We note that the second chip provides a more general integrate-and-fire neuron implementation.

引用

页码：90 / 95

页数：6

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