Abstract
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.
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