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The Flatiron Institute is a research center that uses computational science to advance fields like physics, biology, and astronomy.
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The NeuroRSE group at the Flatiron Institute’s Center for Computational Neuroscience (CCN) recently hosted two software workshops that taught scientists how to analyze neuroscience data using new software tools. The workshops, which took place in January and February and engaged more than 50 participants ranging from undergraduates to postdocs, focused on the data analysis code library pynapple and the statistical modeling framework NeMoS.
The NeuroRSE group (the “RSE” stands for “research software engineer”) builds and maintains open-source software for computational and systems neuroscience.
“Our goal as research software engineers at CCN is to provide useful and reliable software to standardize common analyses across the field,” says CCN Associate Research Scientist Sarah Jo Venditto. “These workshops allow us to build connections and share our software with neuroscientists across many institutions, giving them the opportunity to actually use the packages and ask us questions as they arise. These workshops also allow us to gather important feedback to improve our software and ensure we’re meeting the needs of the neuroscience community.”
The next workshop will take place this fall at the Society for Neuroscience meeting in San Diego, and all upcoming NeuroRSE events are listed on the group’s website.