Hippocampus-Inspired Spiking Neural Network on FPGA

被引：0

作者：

Mokhtar, Maizura ^{[1
]}

Halliday, David M. ^{[1
]}

Tyrrell, Andy M. ^{[1
]}

机构：

[1] Univ York, Dept Elect, Intelligence Syst Grp, York YO10 5DD, N Yorkshire, England

来源：

EVOLVABLE SYSTEMS: FROM BIOLOGY TO HARDWARE, PROCEEDINGS | 2008年 / 5216卷

关键词：

Bio-inspired Hardware; Spiking Neural Network; FPGA;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

There is now a great interest in exploiting the capabilities of hardware devices; especially the reconfigurable properties of FPGA to implement and study the dynamics of neural networks, specifically a biological inspired neural network. FPGA has a much greater appeal than other modes of implementation because ail FPGA implementation offers the flexibility of simple software (re-)configuration in comparison to other digital ASICs. In this paper a hippocampus-inspired spiking neural network is implemented oil all FPGA, in order to take advantage of these two characteristics as well as to achieve autonomy for a neuro-controller device.

引用

页码：362 / 371

页数：10

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