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The unrivaled complexity of the human brain has driven many researchers towards larger and more detailed models of neural processing. Often run on remote highperformance computing architectures, these simulations can be difficult to access at significant levels of detail. In general, after simulations are completed, the results are analyzed off-line. This paradigm can make development of large models exploring complex and time-consuming simulations, such as learning or persistent neuraldoi:10.1186/1471-2202-11-s1-p73 pmcid:PMC3090963 fatcat:cmae5lh7mbax3dblcrncttrkpm