Abstract
Neuroscience research increasingly involves the exploration of computational models of neurons and neural networks. To ensure systematic model exploration, it is often desirable to conduct a parameter-space analysis in which the behavior of the model is catalogued over a very large range of parameter permutations. Here we report the development and testing of a tool-kit called NEURONgrid for conducting this type of analysis in a grid environment using NEURON (Hines & Carnevale, 1997, 2001), a popular and powerful simulation platform for the neurosciences. NEURONgrid provides helper classes within NEURON for manipulating parameters, a package of NEURON for running in a grid environment, and a management client that enables neuroscientists to submit a parameter-space analysis, monitor progress, and download results. NEURONgrid provides a user-friendly means for conducting intensive model exploration within the neurosciences. It is available for download at http://neurongrid.homeip.net.
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Calin-Jageman, R.J., Xie, C., Pan, Y., Vandenberg, A., Katz, P.S. (2007). NEURONgrid: A Toolkit for Generating Parameter-Space Maps Using NEURON in a Grid Environment. In: Măndoiu, I., Zelikovsky, A. (eds) Bioinformatics Research and Applications. ISBRA 2007. Lecture Notes in Computer Science(), vol 4463. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-72031-7_17
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DOI: https://doi.org/10.1007/978-3-540-72031-7_17
Publisher Name: Springer, Berlin, Heidelberg
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