Fully parallel implementation of spiking neural networks on FPGA

被引：0

作者：

Bako, L. ^{[1
]}

Brassai, S. T. ^{[1
]}

Szekely, I. ^{[1
]}

机构：

[1] Sapientia Hungarian Univ Transylvania, Targu Mures, Romania

来源：

PROCEEDINGS OF THE 10TH INTERNATIONAL CONFERENCE ON OPTIMIZATION OF ELECTRICAL AND ELECTRONIC EQUIPMENT, VOL III: INDUSTRIAL AUTOMATION AND CONTROL | 2006年

关键词：

neuromorphic neural networks; spiking neurons; simulation; hardware implementation; FPGA;

D O I：

暂无

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Neurobiological research has lead to the birth of third generation (neuromorphic) artificial neural networks. One of these models is based on the natural "spiking" neural behavior, which creates the basis of our research. Following the developed mathematical "pulse reactive" model, a novel FPGA built hardware spiking neuron is introduced along with a network of these new model neurons. The modular neuron structure, acquired signals and a process control application are given.

引用

页码：135 / 142

页数：8

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