NeuroML for plug and play neuronal modeling

被引：3

作者：

Goddard, NH

Beeman, D

Cannon, R

Cornelis, H

Gewaltig, MO

Hood, G

Howell, F

Rogister, P

De Schutter, E

Shankar, K

Hucka, M

机构：

[1] Univ Edinburgh, Inst Adapt & Neural Computat, Div Informat, Edinburgh EH1 2QL, Midlothian, Scotland

[2] CALTECH, Pasadena, CA 91125 USA

[3] Born Bunge Fdn, Antwerp, Belgium

[4] Carnegie Mellon Univ, Pittsburg Supercomp Ctr, Pittsburgh, PA 15213 USA

来源：

NEUROCOMPUTING | 2002年 / 44卷

基金：

美国国家卫生研究院;

关键词：

collaborative tools; simulation; database; NeuroML;

D O I：

10.1016/S0925-2312(02)00420-4

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Modern software systems for simulation, database access, visualisation and data analysis, supporting distributed, extensible, evolutionary development, are designed around a small core that loads plug-in components. We have designed such a system for the neurosciences using an XML-based protocol, NeuroML, to exchange information between components. NeuroML supports high-level descriptions of data. models, references, and other types of information. We have built simulation kernel plug-ins, visualisation plug-ins, and model-description GUI plug-ins which interoperate in this framework. We describe the current status of these plug-ins and our future plans for further plug-in components. (C) 2002 Published by Elsevier Science B.V.

引用

页码：1077 / 1081

页数：5

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