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calebweinreb committed Feb 22, 2024
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Expand Up @@ -31,7 +31,7 @@ A core goal of neuroscience is to discover temporal patterns in behavior and neu

# Statement of need

Direct inspection of behavior and neurophysiology recordings is hard because the data are typically high-dimensional, come in a variety of modalities (such as raw video, pose tracking, spike trains, calcium traces, etc.) with different sampling rates and methods of visualization. SNUB lowers the activation energy for data exploration by integrating these data streams into a single easy-to-navigate interface. The main intended user is a researcher who has collected data and started to analyze it (e.g. in python). They may already be generating static versions of the data views afforded by SNUB, such as aligned heatmaps and trace plots, and now would like a frictionless way to pan/zoom around these plots and keep all the data views linked together. Importantly, SNUB should be thought of as akin to a plotting library, rather than a data analysis tool.
Direct inspection of behavior and neurophysiology recordings is hard because the data are typically high-dimensional, come in a variety of modalities (such as raw video, pose tracking, spike trains, calcium traces, etc.) with different sampling rates and methods of visualization. SNUB lowers the activation energy for data exploration by integrating these data streams into a single easy-to-navigate interface. The main intended user is a researcher who has collected data and started to analyze it (e.g. in python). They may already be generating static versions of the visualizations afforded by SNUB, such as aligned heatmaps and trace plots, and now would like a frictionless way to pan/zoom around these plots and keep all the data views linked together. Importantly, SNUB should be thought of as akin to a plotting library, rather than a data analysis tool.

The interface is divided into synchronized windows that each show a different data stream. The linked data views allow users to quickly inspect the relationships between experimental phenomena, such as the behaviors that occur during a particular pattern of neural activity (\autoref{fig:screenshot}).

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