Graphical representation of data for a multiprocessor array emulating spiking neural networks

被引：0

作者：

Sokolnicki, Adam ^{[1
]}

Sanchez, Giovanny ^{[2
]}

Madrenas, Jordi ^{[2
]}

Moreno, Manuel ^{[2
]}

Sakowicz, Bartosz ^{[1
]}

机构：

[1] Tech Univ Lodz, Dept Microelect & Comp Sci, Fac Elect Elect Comp & Control Engn, PL-90924 Lodz, Poland

[2] Univ Politecn Cataluna, Dept Elect Engn, ES-08034 Barcelona, Spain

来源：

PRZEGLAD ELEKTROTECHNICZNY | 2012年 / 88卷 / 11A期

关键词：

Spiking neural network; Simulation; Visualizaton; Embeddable script engine; Hardware Emulation;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

It is crucial for any hardware platform emulating neural networks to have tools that give valuable insight to emulated network. A solution that adresses these needs for the specific multiprocessor array used in the Perplexus project [1] will presented in this paper. It consists of a software that exploits interface between the platform and outside world. It instructs and fetches the needed data from the device. The precise data source is defined by user-defined JavaScripts' expressions that are evaluated by the program and presented simultaneously using waveform, histogram and raster plots in real time.

引用

页数：5

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