Linking computational neuroscience simulation tools - A pragmatic approach to component-based development

被引：0

作者：

Howell, F. ^{[1
]}

Cannon, R. ^{[1
,2
]}

Goddard, Nigel ^{[1
]}

Bringmann, H. ^{[1
]}

Rogister, Paul ^{[1
]}

Cornelis, Hugo ^{[2
]}

机构：

[1] Inst. for Adaptive/Neural Comp., Division of Informatics, University of Edinburgh, Edinburgh EH1 2QL

[2] Theoretical Neurobiology, Born-Bunge Foundation, University of Antwerp, Wilrijk 2610

来源：

Neurocomputing | 2003年 / 52-54卷

关键词：

Modelling; Neural simulation tools; Simulation; Software;

D O I：

10.1016/s0925-2312(02)00781-6

中图分类号：

学科分类号：

摘要：

Many problems in computational neuroscience require sophisticated software systems that are beyond the development scope of a single individual or research group. Realizing such systems with minimal redundant effort requires cooperation among software developers and the adoption of design strategies and technology from the software industry. We are working on neuroscience-specific frameworks for modelling tools aimed specifically at maximising the benefits from of investment in software development by encouraging the reuse of software components and at facilitating model development by establishing shared formats for model description. The techniques employed include component technology for coupling parts of applications, XML file standards based on NeuroML for model and data exchange between applications and databases, and peer-peer web based indexing of models and modules. This paper describe progress to date in the modularization of simulation and analysis functions from NEURON, Catacomb and NEOSIM. © 2003 Elsevier Science B.V. All rights reserved.

引用

页码：289 / 294

页数：5

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