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Annoucing pyns.fetch_utils– a simple API for fetching Neuroscout data, and new encoding model tutorials

Neuroscout makes it easy to create and share fully reproducible fMRI analyses using a fully web-based interface. However, there are tradeoffs between ease of use and flexibility. To make Neuroscout easy to use, we have to make assumptions about the types of analyses that users want to perform. We ensure reproducibility by only allowing users to perform analyses that can be fully specified by BIDS Stats Models, and are executable by FitLins. Currently, this means multi level GLM analyzes using predictors pre-extracted and indexed by the Neuroscout API.

As a consequence, there will always be newer types of analyses that are not possible to specify using the web-based Neuroscout interface. This can be a challenge for naturalistic data in particular, as this area of research is rapid evolving and new analyses are constantly being developed. Although we have plans to continously expand the types of analyses that can be performed on Neuroscout (and in turn BIDS Stats Model and FitLins), there will always be analyses that are not possible to perform in a centralized fashion using a web interface.

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Big news from the Neuroscout team!

We’re excited to share that our paper: “Neuroscout, a unified platform for generalizable and reproducible fMRI research” is available in eLife. We break down Neuroscout’s approach and validate it across 35 distinct naturalistic experiments.

Here are some of the highlights, along with some new features you might have missed since you last visited.

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