NeuroML for plug and play neuronal modeling. 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.
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References in zbMATH (referenced in 3 articles , 1 standard article )
Showing results 1 to 3 of 3.
- Andalibi, Vafa; Hokkanen, Henri; Vanni, Simo: Controlling complexity of cerebral cortex simulations. I: CxSystem, a flexible cortical simulation framework (2019)
- Kannon, Takayuki; Inagaki, Keiichiro; Kamiji, Nilton L.; Makimura, Kouji; Usui, Shiro: PLATO: data-oriented approach to collaborative large-scale brain system modeling (2011) ioport
- Goddard, N. H.; Beeman, D.; Cannon, R.; Cornelis, H.; Gewaltig, M.-O.; Hood, G.; Howell, F.; Rogister, P.; De Schutter, E.; Shankar, K.; Hucka, M.: NeuroML for plug and play neuronal modeling (2002)