Merge branch 'main' of https://github.com/flatironinstitute/neurosift

flatironinstitute · Mar 1, 2024 · 4e06695 · 4e06695
2 parents 662d3bf + db64074
commit 4e06695
Showing 1 changed file with 1 addition and 1 deletion.
diff --git a/paper/joss/paper.md b/paper/joss/paper.md
@@ -48,7 +48,7 @@ Because files found on DANDI can often be large and unwieldy, various Python too
 
 # Functionality and user experience
 
-Neurodata Without Borders files are structured hierarchically and encapsulate various "neurodata" types that reflect different aspects of neurophysiological experiments. These types range from *BehavioralEvents*, which record discrete actions or occurrences within experiments, to data structures like *Fluorescence*, *ImageSegmentation*, and *RoiResponseSeries*. Other neurodata types include *ElectricalSeries* for electrophysiological signals and *Units* for spike times of neurons. Neurosift allows interactive navigation of this hierarchical structure and provides plugin visualizations for many of these types. It also facilitates the creation of composite views by allowing users to select and synchronize multiple data types within the same interface. This synchronization extends to navigation actions such as zooming and panning, where different sub-windows, each displaying a different aspect of the data, maintain a shared time axis.
+Neurodata Without Borders files are structured hierarchically and encapsulate various "neurodata" types that reflect different aspects of neurophysiological experiments. These types range from *BehavioralEvents*, which record discrete actions or occurrences within experiments, to data structures like *Fluorescence*, *ImageSegmentation*, and *RoiResponseSeries*, key data types in optical neurophysiology. Other neurodata types include *ElectricalSeries* for electrophysiological signals and *Units* for spike times of neurons. Neurosift allows interactive navigation of this hierarchical structure and provides plugin visualizations for many of these types. It also facilitates the creation of composite views by allowing users to select and synchronize multiple data types within the same interface. This synchronization extends to navigation actions such as zooming and panning, where different sub-windows, each displaying a different aspect of the data, maintain a shared time axis. These views can then be shared with others as a URL.
 
 # Architecture and technical innovation