You signed in with another tab or window. Reload to refresh your session.You signed out in another tab or window. Reload to refresh your session.You switched accounts on another tab or window. Reload to refresh your session.Dismiss alert
There are quite a few features which would benefit from an all purpose data selection module. This would also function as an alternative to ETA. Users can simply select a which data to work with for the subsequent analysis.
Combining behavioral Data
It is common in many types of analysis to combine all of the behavioural data into a single matrix. e.g.
Sound = csv1
Light = csv2
Speed = csv3
behaviourData = [Sound, Light, Speed]
Selecting Data
It would also be useful to select which part of each dataset. As long at the data are the same length they should be able to be combined.
e.g. behaviourData = [Sound(0:100), Light(4:104), Speed(1:101)]
Selecting ROIs
This module could also work with both neural_data and isCellData types and add an additional selection option. It would be useful for users to select which ROIs to use. This is different from isCellData because sometimes users might want to work on only the 10 or 20 ROIs that they manually select. So the output would be:
outputROI = all_rois(isCellData)
outputROI = outputROI(user_selection)
The text was updated successfully, but these errors were encountered:
There are quite a few features which would benefit from an all purpose data selection module. This would also function as an alternative to ETA. Users can simply select a which data to work with for the subsequent analysis.
Combining behavioral Data
It is common in many types of analysis to combine all of the behavioural data into a single matrix. e.g.
Sound = csv1
Light = csv2
Speed = csv3
behaviourData = [Sound, Light, Speed]
Selecting Data
It would also be useful to select which part of each dataset. As long at the data are the same length they should be able to be combined.
e.g. behaviourData = [Sound(0:100), Light(4:104), Speed(1:101)]
Selecting ROIs
This module could also work with both neural_data and isCellData types and add an additional selection option. It would be useful for users to select which ROIs to use. This is different from isCellData because sometimes users might want to work on only the 10 or 20 ROIs that they manually select. So the output would be:
outputROI = all_rois(isCellData)
outputROI = outputROI(user_selection)
The text was updated successfully, but these errors were encountered: