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
According to the spec, cell positions are now stored as x, y, z 1-D attributes; while synapse positions are stored as 2-D attributes (e.g., afferent_center_position).
Ideally we should be consistent here.
Imho, storing positions in 2-D attributes makes sense since we usually need all the coordinates; but we need to recall why we decided to go with x, y, z for cell positions recently. :)
The text was updated successfully, but these errors were encountered:
Nobody seems to recall and after having decided to represent orientation with quaternions, which will probably be stored as a 2-D array with 4 columns, it makes sense to reconsider storing positions in a single dataset again.
According to the spec, cell positions are now stored as
x
,y
,z
1-D attributes; while synapse positions are stored as 2-D attributes (e.g.,afferent_center_position
).Ideally we should be consistent here.
Imho, storing positions in 2-D attributes makes sense since we usually need all the coordinates; but we need to recall why we decided to go with
x
,y
,z
for cell positions recently. :)The text was updated successfully, but these errors were encountered: